Journal articles: 'Sensorisk perception'

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Blanchard, Marie-Josée, and David Howes. "« Se sentir chez soi » au musée." Anthropologie et Sociétés 38, no. 3 (March 11, 2015): 253–70. http://dx.doi.org/10.7202/1029027ar.

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Comment présenter la complexité sensorielle et symbolique d’une culture à l’intérieur d’un espace muséal qui possède lui-même un régime sensoriel souvent limité à la perception visuelle ? Cet article cherche à comprendre le rôle des perceptions sensorielles dans l’espace muséal à travers l’analyse de la nouvelle exposition permanenteC’est notre histoire. Premières Nations et Inuit du XXIe siècledu Musée de la civilisation à Québec. En comparant les réalités sensorielles autochtones en Amérique du Nord et la présentation qui en est faite au Musée à travers trois exemples, nous démontrerons comment les stratégies de présentation d’objets faisant appel aux sens permettent au visiteur de se plonger dans les environnements autochtones et d’en saisir plus adéquatement la symbolique et l’importance culturelle. Malgré les efforts apportés lors de la phase préparatoire, où plusieurs représentants et communautés autochtones ont été consultés sur le contenu et le design de l’exposition, les objets exposés ne correspondent pas adéquatement aux idées que voulaient y traduire les Premières Nations et Inuit. Ces derniers ont clairement exprimé vouloir se « sentir chez eux » dans cet espace muséal, mais n’ont pas réussi à pleinement s’y identifier étant donné le fossé creusé entre le sensorium muséal et les sensoria autochtones.

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Mitrokhin, A., P. Sutor, C. Fermüller, and Y. Aloimonos. "Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception." Science Robotics 4, no. 30 (May 15, 2019): eaaw6736. http://dx.doi.org/10.1126/scirobotics.aaw6736.

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The hallmark of modern robotics is the ability to directly fuse the platform’s perception with its motoric ability—the concept often referred to as “active perception.” Nevertheless, we find that action and perception are often kept in separated spaces, which is a consequence of traditional vision being frame based and only existing in the moment and motion being a continuous entity. This bridge is crossed by the dynamic vision sensor (DVS), a neuromorphic camera that can see the motion. We propose a method of encoding actions and perceptions together into a single space that is meaningful, semantically informed, and consistent by using hyperdimensional binary vectors (HBVs). We used DVS for visual perception and showed that the visual component can be bound with the system velocity to enable dynamic world perception, which creates an opportunity for real-time navigation and obstacle avoidance. Actions performed by an agent are directly bound to the perceptions experienced to form its own “memory.” Furthermore, because HBVs can encode entire histories of actions and perceptions—from atomic to arbitrary sequences—as constant-sized vectors, autoassociative memory was combined with deep learning paradigms for controls. We demonstrate these properties on a quadcopter drone ego-motion inference task and the MVSEC (multivehicle stereo event camera) dataset.

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Bonelli, Cristóbal. "On People, Sensorial Perception, and Potential Affinity in Southern Chile." Social Analysis 63, no. 2 (July 1, 2019): 66–80. http://dx.doi.org/10.3167/sa.2019.630204.

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Through an ethnographic exploration of Pehuenche conceptualizations of doubles and of greeting and funerary practices in Southern Chile, this article considers the ontological relevance of sensorial perception as a main operator for stabilizing the tension between autonomy and dependence on otherness. The article aims to establish how relations between ‘real people’ or che, in Pehuenche daily life, do not precede mutual sensorial perception; instead, they can be seen as the result of such perceptions. In so doing, and building upon the concept of ‘potential affinity’ as a persisting relational principle of relatedness, I show how the minimal unit of analysis of sensorial perception is not composed of separated unities. Rather, it is an assemblage of multiple capacities involving both visible and invisible relational entities.

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FUKE, SAWA, MASAKI OGINO, and MINORU ASADA. "BODY IMAGE CONSTRUCTED FROM MOTOR AND TACTILE IMAGES WITH VISUAL INFORMATION." International Journal of Humanoid Robotics 04, no. 02 (June 2007): 347–64. http://dx.doi.org/10.1142/s0219843607001096.

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This paper proposes a learning model that enables a robot to acquire a body image for parts of its body that are invisible to itself. The model associates spatial perception based on motor experience and motor image with perception based on the activations of touch sensors and tactile image, both of which are supported by visual information. The tactile image can be acquired with the help of the motor image, which is thought to be the basis for spatial perception, because all spatial perceptions originate in motor experiences. Based on the proposed model, a robot estimates invisible hand positions using the Jacobian between the displacement of the joint angles and the optical flow of the hand. When the hand touches one of the invisible tactile sensor units on the face, the robot associates this sensor unit with the estimated hand position. The simulation results show that the spatial arrangement of tactile sensors is successfully acquired by the proposed model.

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Le Breton, David. "La conjugaison des sens." Anthropologie et Sociétés 30, no. 3 (April 17, 2007): 19–28. http://dx.doi.org/10.7202/014923ar.

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Résumé L’individu ne prend conscience de soi qu’à travers le sentir, il éprouve son existence par les résonances sensorielles et perceptives qui ne cessent de le traverser. Nos perceptions sensorielles, enchevêtrées à des significations, dessinent les limites fluctuantes de l’environnement où nous vivons, elles en disent l’étendue et la saveur. La perception n’est pas coïncidence avec les choses, mais interprétation. Tout homme chemine dans un univers sensoriel lié à ce que son histoire personnelle a fait de son éducation.

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Alasmary, Waleed. "An Innovative Autonomous and Semiautonomous Cars Communication Framework: An Environment Perception Perspective." Journal of Computer Networks and Communications 2019 (November 11, 2019): 1–8. http://dx.doi.org/10.1155/2019/4237608.

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Autonomous vehicles are equipped with multiple sensors that allow perception of the road environment. However, there are always challenges in terms of measurement accuracy, dynamics of the road driving conditions, and extended perception availability. Vehicular communication technologies have already been extensively researched, and the IEEE 802.11p standard has been approved. Therefore, communications could help in extending the perception of the autonomous vehicles if proper information transmission mechanisms are utilized. In fact, this paper proposes a novel and innovative design that will allow vehicles to extend their perception by exchanging a smaller number of packets than needed and estimate the actual perception of the environment. First, we propose a novel MAC layer that is compatible with the IEEE 802.11p standard that allows vehicles to recover extra perceptional areas of the environment as they receive new packets. Second, we demonstrate that this approach will result in a better utilization of the communication channel and acceptable perception accuracy of the environment, compared to transmitting the complete information.

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Jiménez, Felipe. "Perception Sensors for Road Applications." Sensors 19, no. 23 (December 1, 2019): 5294. http://dx.doi.org/10.3390/s19235294.

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New assistance systems and the applications of autonomous driving of road vehicles imply ever-greater requirements for perception systems that are necessary in order to increase the robustness of decisions and to avoid false positives or false negatives [...]

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Mumbi, Anne Wambui, and Tsunemi Watanabe. "Differences in Risk Perception of Water Quality and Its Influencing Factors between Lay People and Factory Workers for Water Management in River Sosiani, Eldoret Municipality Kenya." Water 12, no. 8 (August 10, 2020): 2248. http://dx.doi.org/10.3390/w12082248.

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This study evaluates the differences between risk predictors and risk perception regarding water pollution. Specifically, it focuses on the differences in risk perception between factory workers and lay people situated in textile industries near the River Sosiani in Eldoret, Kenya. The lay people are divided into two groups. The respondents living downstream are situated mostly in town centers and at the mid/lower parts of the river, and the respondents living upstream are mainly found at the upper parts of the River Sosiani. Data were obtained from 246 participants using questionnaires. Several factors influencing risk perception were selected to evaluate the degree of perceived risk amongst the groups. Descriptive statistics, mean score and correlation analyses, and multiple linear regression models were used to analyse the data. The one-way ANOVA results showed statistically different levels of risk perceptions amongst the groups. The partial and bivariate correlation analyses revealed the differences in scientific knowledge between respondents upstream and downstream. The multiple linear regression analysis showed that each group used different variables to determine risks in the region. In the factory group, 56.1% of the variance in risk perception is significantly predicted by sensorial factors, trust in the government’s capacity to manage water pollution and the impact of water pollution on human health. About 65.9% of the variance in risk perception of the downstream inhabitants is significantly predicted by sensorial factors, the possibility of industries generating water pollution, and previous experience with water pollution. For the respondents located upstream, age, sensorial factors, trust in the government and the possibility of being impacted by water pollution factors significantly predicted 37.05% of the variance in risk perception. These findings indicate that enhanced public participation in water governance amongst the residents of Eldoret town is needed, along with an understanding of the different characteristics of the respondents in the region during risk communication. This will boost awareness in the region and promote the adoption of better practices to minimise the adverse effects of water pollution faced by the region.

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Gomez, Clara, Alejandra Carolina Hernandez, Jonathan Crespo, and Ramon Barber. "A topological navigation system for indoor environments based on perception events." International Journal of Advanced Robotic Systems 14, no. 1 (December 22, 2016): 172988141667813. http://dx.doi.org/10.1177/1729881416678134.

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The aim of the work presented in this article is to develop a navigation system that allows a mobile robot to move autonomously in an indoor environment using perceptions of multiple events. A topological navigation system based on events that imitates human navigation using sensorimotor abilities and sensorial events is presented. The increasing interest in building autonomous mobile systems makes the detection and recognition of perceptions a crucial task. The system proposed can be considered a perceptive navigation system as the navigation process is based on perception and recognition of natural and artificial landmarks, among others. The innovation of this work resides in the use of an integration interface to handle multiple events concurrently, leading to a more complete and advanced navigation system. The developed architecture enhances the integration of new elements due to its modularity and the decoupling between modules. Finally, experiments have been carried out in several mobile robots, and their results show the feasibility of the navigation system proposed and the effectiveness of the sensorial data integration managed as events.

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Morales Bustos, Olivia Diana, Amparo Eccoña Sota, and Reynaldo Justino Silva Paz. "Sensory perception of a meat analog (tofu) using rapid descriptive methods." Agroindustrial Science 11, no. 1 (April 2021): 17–23. http://dx.doi.org/10.17268/agroind.sci.2021.01.02.

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Tarannum, Fawzia, Arun Kansal, and Prateek Sharma. "Understanding public perception, knowledge and behaviour for water quality management of the river Yamuna in India." Water Policy 20, no. 2 (January 29, 2018): 266–81. http://dx.doi.org/10.2166/wp.2018.134.

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Abstract The paper aims to understand how the public perceives river water quality and related risks and behaviour. Using the stratified semi-purposive sampling process, the study explores the perception of people residing along the river Yamuna in India. The method applied involved a structured questionnaire survey of 2706 respondents and four focused group discussions with people residing within two kilometres of the river bank. Non-parametric tests such as Kruskal Wallis, Mann Whitney U-test and One-Sample Wilcoxon Signed-Rank Test were used to analyse the data. The findings suggest that the majority of the respondents formulate their perceptions using non-scientific methods like sensorial and heuristics. Perception on sources of pollution is shaped by personal experiences and people do not perceive diffused sources of pollution that affect river water quality. Respondents attributed the pollution in the river to anthropogenic activities and their risk perception was found to be linked to their direct dependence on the river for their daily needs. The paper suggests behavioural change strategies to focus on social, governance, and technological drivers.

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Smaili, R., E. Hoencamp, K. Jonker, P. M. J. Haffmans, and T. K. Birkenhäger. "Alterations in sensorial perception during mood disorders." European Neuropsychopharmacology 8 (November 1998): S201. http://dx.doi.org/10.1016/s0924-977x(98)80308-8.

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Muresan, Mircea Paul, Ion Giosan, and Sergiu Nedevschi. "Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation." Sensors 20, no. 4 (February 18, 2020): 1110. http://dx.doi.org/10.3390/s20041110.

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The stabilization and validation process of the measured position of objects is an important step for high-level perception functions and for the correct processing of sensory data. The goal of this process is to detect and handle inconsistencies between different sensor measurements, which result from the perception system. The aggregation of the detections from different sensors consists in the combination of the sensorial data in one common reference frame for each identified object, leading to the creation of a super-sensor. The result of the data aggregation may end up with errors such as false detections, misplaced object cuboids or an incorrect number of objects in the scene. The stabilization and validation process is focused on mitigating these problems. The current paper proposes four contributions for solving the stabilization and validation task, for autonomous vehicles, using the following sensors: trifocal camera, fisheye camera, long-range RADAR (Radio detection and ranging), and 4-layer and 16-layer LIDARs (Light Detection and Ranging). We propose two original data association methods used in the sensor fusion and tracking processes. The first data association algorithm is created for tracking LIDAR objects and combines multiple appearance and motion features in order to exploit the available information for road objects. The second novel data association algorithm is designed for trifocal camera objects and has the objective of finding measurement correspondences to sensor fused objects such that the super-sensor data are enriched by adding the semantic class information. The implemented trifocal object association solution uses a novel polar association scheme combined with a decision tree to find the best hypothesis–measurement correlations. Another contribution we propose for stabilizing object position and unpredictable behavior of road objects, provided by multiple types of complementary sensors, is the use of a fusion approach based on the Unscented Kalman Filter and a single-layer perceptron. The last novel contribution is related to the validation of the 3D object position, which is solved using a fuzzy logic technique combined with a semantic segmentation image. The proposed algorithms have a real-time performance, achieving a cumulative running time of 90 ms, and have been evaluated using ground truth data extracted from a high-precision GPS (global positioning system) with 2 cm accuracy, obtaining an average error of 0.8 m.

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GUO, LANSHEN, MINGLU ZHANG, and LIXIN SUN. "ENVIRONMENTAL PERCEPTION OF MOBILE ROBOT BASED ON MULTI-SENSORS' DATA FUSION." International Journal of Information Acquisition 03, no. 04 (December 2006): 311–19. http://dx.doi.org/10.1142/s0219878906001052.

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We have built up a system to apperceive unknown environment based on multi-sensors' data fusion, which enabled the self-determinative mobile robot recognize timely the type of obstacles around it in the course of travel, and the mobile robot would be provided with more intelligent operations. Firstly, the paper introduced the theory of environmental perception for mobile robot and the configuration of the multi-sensors' data fusion technology. Secondly, combining with the characteristics of neural network (NN) and aiming at the shortages of the former solving projects, it was brought forward that the MLP (Multi-layer perceptron) based on the improved back propagation (BP) arithmetic and four mature items of fusion rules, which were applied to apperceive the real surroundings. Thirdly, the paper presents a kind of structure of multi-sensor information data fusion. Two sub-networks for barrier recognition are separately built and incorporated with each other to form a high-powered recognition system by parallel connection.

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Fute, Elie Tagne, Doris-Khöler Nyabeye Pangop, and Emmanuel Tonye. "A Hybrid Approach for the Multi-sensor Patrolling Problem in an Unknown Environment with Obstacles." International Journal of Computer Network and Information Security 12, no. 5 (October 8, 2020): 16–30. http://dx.doi.org/10.5815/ijcnis.2020.05.02.

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This paper introduces PREFAP, an approach to solve the multi-sensor patrolling problem in unknown environment. The multi-sensor patrolling problem consists in moving a set of sensors on a pre-set territory such that each part of this territory is visited by the sensor agents as often as possible. Eachsensor has a communicational radius and a sensory radius. indeed, optimal patrol can only be achieved if the duration between two visits of the same area of the environment is as minimal as possible. This time between two visits is called idleness. Thus, an effective patrol technique must make it possible to minimize idleness in the environment.That is why after a deep analysis of the existing resolution’s approaches, we propose a hybrid approach of resolution with three components: perception-reaction, field of strength and learning. In absence of obstacles, the perception-reaction component gives to the sensors a purely reactive behavior, as a function of their local perceptions, which permit them to move easily in their environment. The strength module enables the sensors to avoid the obstacles in the environment. As regards to the learning module, it allows the sensors to get out of blocking situations encountered during obstacle avoidance. This approach, called PREFAP, must be able to minimize idleness in different areas of the environment. The simulation results obtained show that the approach developed effectively minimizes idleness in the environment. This allows on the one hand, to have a regular patrol in the environment; on the other hand, thanks to the minimization of idleness of the areas of the environment, PREFAP will allow the sensors to quickly detect the various possible events which can occur in different areas of the environment.

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Cajamarca, Gabriela, Iyubanit Rodríguez, Valeria Herskovic, Mauricio Campos, and Juan Riofrío. "StraightenUp+: Monitoring of Posture during Daily Activities for Older Persons Using Wearable Sensors." Sensors 18, no. 10 (October 11, 2018): 3409. http://dx.doi.org/10.3390/s18103409.

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Monitoring the posture of older persons using portable sensors while they carry out daily activities can facilitate the process of generating indicators with which to evaluate their health and quality of life. The majority of current research into such sensors focuses primarily on their functionality and accuracy, and minimal effort is dedicated to understanding the experience of older persons who interact with the devices. This study proposes a wearable device to identify the bodily postures of older persons, while also looking into the perceptions of the users. For the purposes of this study, thirty independent and semi-independent older persons undertook eight different types of physical activity, including: walking, raising arms, lowering arms, leaning forward, sitting, sitting upright, transitioning from standing to sitting, and transitioning from sitting to standing. The data was classified offline, achieving an accuracy of 93.5%, while overall device user perception was positive. Participants rated the usability of the device, in addition to their overall user experience, highly.

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Tran, Hoang Quang Minh, and Anh Vu Le. "Fusing Detected Humans in Multiple Perception Sensors Network." Journal of Advanced Engineering and Computation 1, no. 2 (November 30, 2017): 114. http://dx.doi.org/10.25073/jaec.201712.61.

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A fusion method is proposed to keep a correct number of humans from all humans detected by the robot operating system based perception sensor network (PSN) which includes multiple partially overlapped field of view (FOV) Kinects. To this end, the fusion rules are based on the parallel and orthogonal configurations of Kinects in PSN system. For the parallel configuration, the system will decide whether the detected humans staying in FOV of single Kinect or in overlapped FOV of multiple Kinects by evaluating the angles formed between their locations and Kinect original point on top view (x, z plane) of 3D coordination. Then, basing on the angles, the PSN system will keep the person stay in only one FOV or keep the one with biggest ROI if they stay in overlapped FOV of Kinects. In the case of Kinects with orthogonal configuration, 3D Euclidian distances between detected humans are used to determine the group of humans supported to be same human but detected by different Kinects. Then the system, keep the human with a bigger region of interest (ROI) among this group. The experimental results demonstrate the outperforming of the proposed method in various scenarios. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Cancino Botello, M. C., A. Peña Serrano, M. D. L. A. Canseco Navarro, J. M. Hernández Sánchez, and F. Molina López. "Strange behavior as defense mechanism related to sensorial impairment in autism." European Psychiatry 33, S1 (March 2016): S347. http://dx.doi.org/10.1016/j.eurpsy.2016.01.1227.

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IntroductionSo far, autism etiology is not known yet, it is believed that is due a combination of neurobiological, structural, genetic and environmental factors. This disorder is characterized by social interaction and communication impairments and presence of restricted and repetitive behaviors. Some authors have spoken about Sensorial Perception Theory that tries to explain how sensorial impairment of people with autism causes “strange” conducts, as a protective mechanism to stimuli they perceive as disturbing.ObjectivesTo highlight the role of sensorial perception in people with autism in their way of interacting over the environment.Methodsystematic review of the literature in English (PubMed), with the following keywords: “Autism”, “sensory perception”, and “Asperger syndrome”.ResultsAccording to Sensorial Perception Theory, people with autism perceive sensorial information from environment in different ways. It is believed that each sense operates as a hyper or hyposensitive sense, according to the intensity and the moment the stimulus is produced. This fact provokes “abnormal” responses as repetitive or restricted behavior, in order to protect themselves form the disturbing stimuli.ConclusionsSensorial hyper o hyposensitive may be related to the strange behavior that can be present in people with autism. If we could interpret such conducts, we will be able to imagine how patients are perceiving the world and then we could help them to develop strategies in order to function more properly.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Bogue, Robert. "Sensors for robotic perception. Part one: human interaction and intentions." Industrial Robot: An International Journal 42, no. 5 (August 17, 2015): 386–91. http://dx.doi.org/10.1108/ir-05-2015-0098.

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Purpose – The purpose of this two-part paper is to illustrate how sensors impart robots with perceptive capabilities. This first part considers robots that interact with humans and which seek to mimic human intentions. Design/methodology/approach – Following a short introduction, this paper first discusses the sensors used in robotic prosthetics. It then considers sensor applications in recently developed service, companion and assistive robots. The final section concerns the sensors used in collaborative robots, followed by brief concluding comments. Findings – This shows that sensors play a vital role in imparting perceptive capabilities to robots which interact with people. They can interpret human intentions, control prosthetic limbs, monitor and map a robot’s environment, assist with navigation, ensure the safety of co-workers and even detect a person’s emotional state. They are based on a diversity of principles and technologies, including microelectromechanical system (MEMS)-based sensors for physical variables, myographic electrodes and electroencephalogram (EEG) sensors, lasers, infra-red and sonar systems and sophisticated cameras and imaging systems. Originality/value – This provides a timely account of how sensors confer perceptive capabilities to the growing number of robots which interact directly with people.

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Azpiroz, F., and J. R. Malagelada. "Isobaric intestinal distension in humans: sensorial relay and reflex gastric relaxation." American Journal of Physiology-Gastrointestinal and Liver Physiology 258, no. 2 (February 1, 1990): G202—G207. http://dx.doi.org/10.1152/ajpgi.1990.258.2.g202.

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To determine the relationship between perception of segmental intestinal distension and the reflex gastric tone response, we performed in eight healthy volunteers graded isobaric distensions (2.5 min duration at 10 min intervals) of the duodenum and the jejunum using an electronic barostat. We measured gastric tone as intragastric air volume by a separate barostat and the perception score by a graded questionnaire. At the threshold distending pressure for discomfort in the duodenum (23 +/- 2 mmHg), both perception (5.7 +/- 0.2 score; P less than 0.01) and reflex gastric relaxation (148 +/- 35 ml delta gastric vol; P less than 0.01) were elicited. Lower pressures (12 mmHg below the discomfort threshold) failed to produce perception (0.6 +/- 0.4 score), but significant relaxation was still induced (63 +/- 22 ml delta gastric vol; P less than 0.05). In contrast, no significant gastric relaxation occurred at any pressure level tested in the jejunum (up to 27 +/- 2 mmHg), whereas the perception scores paralleled those produced by duodenal distension. This dissociation between symptoms and visceral reflexes suggests that both responses are independently induced by specific mechanisms.

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Erviana, Irma, and Giur Hargiana. "APLIKASI ASUHAN KEPERAWATAN GENERALIS DAN PSIKORELIGIUS PADA KLIEN GANGGUAN SENSORI PERSEPSI: HALUSINASI PENGLIHATAN DAN PENDENGARAN." Jurnal Riset Kesehatan Nasional 2, no. 2 (November 3, 2018): 114. http://dx.doi.org/10.37294/jrkn.v2i2.106.

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Hallucinations are the most common problems in nursing diagnoses of mental disordes. Hallucinations are the distortions of false perceptions that occur in maladaptive neurobiological responses. Hallucinations usually appear in patients with mental disorders the result of the change in reality orientation, patients feel the stimulation that actually does not exist. In this profession program the author has the opportunity to manage directly, by providing nursing care and analyzing the final results that will be documented in the form of final scientific work ners. The care of nursing for a client a of sensory perception disorder: sight and hearing hallucinations that is a symptom of an early psychosis, the majority of this case which happened in the end of adolescenceor early adulthood , confuse is the role which have affect to the fragile personality disorder so that there is the disorder of self-concept and pulling themselves from a social environment that gradually get the teenager become too deep in fantasy and cause the emergence of hallucinations. The nursing process is performed based on generalist nursing care standard for 9 days of hospitalization, Started from the date of 2 and 10 of May 2018. Theobtained results are the main nursing problems which is perception sensory disorder: hallucinations.The Implementations that focus on controlling hallucinatory efforts by rebuking and also modalities of therapy: psychoreligious. The nursing order that is provided give good results to the clients on the mark by no longer hearing the voices that often mock clients and the diminishing intensity of dajjal’s presence that be seen by the clients.

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Yaari, Zvi A., Yoona Yang, Anand Jagota, Ming Zheng, and Daniel A. Heller. "Developing Ovarian Cancer Sensors Using Molecular Perceptron." ECS Meeting Abstracts MA2020-01, no. 6 (May 1, 2020): 645. http://dx.doi.org/10.1149/ma2020-016645mtgabs.

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Yaari, Zvi A., Yoona Yang, Anand Jagota, Ming Zheng, and Daniel A. Heller. "Developing Ovarian Cancer Sensors Using Molecular Perceptron." ECS Meeting Abstracts MA2021-01, no. 10 (May 30, 2021): 538. http://dx.doi.org/10.1149/ma2021-0110538mtgabs.

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Neves, Érica Pereira das, Aline C. Brigatto, Cintia L. Samaan, Sergio Tosi Rodrigues, and Luis Carlos Paschoarelli. "Perception and fabrics: a preliminary investigation about the responses patterns by the stimulation of vision and touch." Design e Tecnologia 10, no. 20 (June 30, 2020): 95–105. http://dx.doi.org/10.23972/det2020iss20pp95-105.

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During the interaction of the individuals with the products, the sensorial channels are activated and begin to receive various information. In the Design exercise, the properties of the materials are responsible for giving the objects personality. In the case of fashion product, the aesthetic features, as well as the physical and mechanical characteristics of the fabrics promote varied perceptions that generate subjective and affective responses in the individual. In this sense, the present study presents a preliminary investigation about the responses patterns obtained through the simulation of two sensorial channels – vision and touch - in front of some varied fabrics. For this purpose, five different samples of fabric were evaluated through a semantic scale completed with bipolar adjectives to identify the response patterns. Comparing the individual perceptual of each fabric, it was observed that there were no substantial differences between the responses obtained by the different sensory channels. Fabrics with irregular surface, grainy and a voluminous fit, such as crepe, presented more negative perceptual responses, such as discomfort, hardness, and synthetic. It is noted that aesthetic qualities, such as repulsiveness, simplicity, ugly and coarse were more accentuated when considered the perception through vision.

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Allig, Christoph, and Gerd Wanielik. "Extending the vehicular network simulator Artery in order to generate synthetic data for collective perception." Advances in Radio Science 17 (September 19, 2019): 189–96. http://dx.doi.org/10.5194/ars-17-189-2019.

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Abstract. A fundamental for an automated driving car is the awareness of all its surrounding road participants. Current approach to gather this awareness is to sense the environment by on-board sensors. In the future, Vehicle-to-X (V2X) might be able to improve the awareness due to V2X's communication range superiority compared to the on-board sensors' range. Due to a limited amount of communication partners sharing their own ego states, current research focuses particularly on cooperative perception. This means sharing objects perceived by local on-board sensors of different partners via V2X. Data collections using vehicles, driving on real roads, is challenging, since there is no market introduction of cooperative perception yet. Using test cars, equipped with the required sensors are rather expensive and do not necessarily provide results representing the true potential of cooperative perception. Particularly, its potential is highly dependent on the market penetration rate and the amount of vehicles within certain vicinity. Therefore, we consider to create synthetic data for cooperative perception by a simulation tool. After reviewing suitable simulation tools, we present an extension of Artery and its counterpart SUMO by modelling realistic vehicle dynamics and probabilistic sensor models. The generated data can be used as input for cooperative perception.

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García, F., F. Jiménez, J. E. Naranjo, J. G. Zato, F. Aparicio, J. M. Armingol, and A. de la Escalera. "Environment perception based on LIDAR sensors for real road applications." Robotica 30, no. 2 (May 24, 2011): 185–93. http://dx.doi.org/10.1017/s0263574711000270.

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SUMMARYThe recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.

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Barela, José Angelo. "Strategies of control in complex movements: perception-action cycle in postural control." Revista Paulista de Educação Física, supl.3 (October 20, 2017): 79. http://dx.doi.org/10.11606/issn.2594-5904.rpef.2000.139616.

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Este trabalho teve como objetivo discutir alguns aspectos do funcionamento do sistema postural, enfatizando o relacionamento entre informação sensorial e ação motora. Verificando a utilização da informação visual e somatosensória na manutenção da posição em pé, por adultos e crianças, foi observado que o sistema de controle postural busca manter um relacionamento coerente e estável entre a pessoa e o meio ambiente. No caso da informação somatosensória a coerência e estabilidade deste relacionamento foi alcançada utilizando uma estratégia de “feedforward”, onde informação sensorial é utilizada para obter informação entre o indivíduo e o ambiente e, então, utilizada para antecipar a ocorrência da ação motora específica com o objetivo de reduzir oscilação corporal. Esta estratégia foi verificada tanto para adultos quanto para crianças. Entretanto, em crianças a estabilidade do relacionamento entre informação sensorial e ação motora é mais fraca que em adultos. Desta forma, foi concluído que a estabilidade entre informação sensorial e ação motora é crucial para o funcionamento do sistema de controle postural.

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Macagnano, A., E. Zampetti, B. R. Pistillo, S. Pantalei, E. Sgreccia, R. Paolesse, and R. d'Agostino. "Double layer sensors mimic olfactive perception: A case study." Thin Solid Films 516, no. 21 (September 2008): 7857–65. http://dx.doi.org/10.1016/j.tsf.2008.05.025.

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Horn, O., and M. Kreutner. "Smart wheelchair perception using odometry, ultrasound sensors, and camera." Robotica 27, no. 2 (March 2009): 303–10. http://dx.doi.org/10.1017/s0263574708004773.

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SUMMARYThis paper deals with the perception mode of smart wheelchairs. First we evoke the many mobility aid prototypes developed in rehabilitation robotics by considering the point of view of perception. Then we describe the localization mode of the VAHM**. We show how the odometric, ultrasound, and vision sensors are used in a complementary way in order to locate the wheelchair in its known environment. The mode of adjustment of the odometric position by the least-squared method using ultrasonic measurements is detailed. Then the use of vision to perceive the vertical segments of the environment so as to refine the orientation is presented. The results of the tests carried out on the wheelchair are given and commented.

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Pires, Mariana A., Lorenzo M. Pastrana, Pablo Fuciños, Cristiano S. Abreu, and Sara M. Oliveira. "Sensorial Perception of Astringency: Oral Mechanisms and Current Analysis Methods." Foods 9, no. 8 (August 14, 2020): 1124. http://dx.doi.org/10.3390/foods9081124.

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Understanding consumers’ food choices and the psychological processes involved in their preferences is crucial to promote more mindful eating regulation and guide food design. Fortifying foods minimizing the oral dryness, rough, and puckering associated with many functional ingredients has been attracting interest in understanding oral astringency over the years. A variety of studies have explored the sensorial mechanisms and the food properties determining astringency perception. The present review provides a deeper understanding of astringency, a general view of the oral mechanisms involved, and the exciting variety of the latest methods used to direct and indirectly quantify and simulate the astringency perception and the specific mechanisms involved.

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Bogue, Robert. "Sensors for robotic perception. Part two: positional and environmental awareness." Industrial Robot: An International Journal 42, no. 6 (October 19, 2015): 502–7. http://dx.doi.org/10.1108/ir-07-2015-0133.

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Purpose – The purpose of this article is to illustrate how sensors impart perceptive capabilities to robots. This is the second part of a two-part article. This second part considers positional awareness and sensing in the external environment, notably but not exclusively by autonomous, mobile robots. Design/methodology/approach – Following a short introduction, this article first discusses positional sensing and navigation by mobile robots, including self-driving cars, automated guided vehicles, unmanned aerial vehicles (UAVs) and autonomous underwater vehicles (AUVs). It then considers sensing with UAVs and AUVs, and finally discusses robots for hazard detection. Brief concluding comments are drawn. Findings – This shows that sensors based on a multitude of techniques confer navigational capabilities to mobile robots, including LIDARs, radar, sonar, imaging and inertial sensing devices. UAVs, AUVs and mobile terrestrial robots can be equipped with all manner of sensors to create detailed terrestrial and underwater maps, monitor air and water quality, locate pollution and detect hazards. While existing sensors are used widely, many new devices are now being developed to meet specific requirements and to comply with size, weight and cost restraints. Originality/value – The use of mobile robots is growing rapidly, and this article provides a timely account of how sensors confer them with positional awareness and allow them to act as mobile sensing platforms.

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Goelles, Thomas, Birgit Schlager, and Stefan Muckenhuber. "Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar." Sensors 20, no. 13 (June 30, 2020): 3662. http://dx.doi.org/10.3390/s20133662.

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Perception sensors such as camera, radar, and lidar have gained considerable popularity in the automotive industry in recent years. In order to reach the next step towards automated driving it is necessary to implement fault diagnosis systems together with suitable mitigation solutions in automotive perception sensors. This is a crucial prerequisite, since the quality of an automated driving function strongly depends on the reliability of the perception data, especially under adverse conditions. This publication presents a systematic review on faults and suitable detection and recovery methods for automotive perception sensors and suggests a corresponding classification schema. A systematic literature analysis has been performed with focus on lidar in order to review the state-of-the-art and identify promising research opportunities. Faults related to adverse weather conditions have been studied the most, but often without providing suitable recovery methods. Issues related to sensor attachment and mechanical damage of the sensor cover were studied very little and provide opportunities for future research. Algorithms, which use the data stream of a single sensor, proofed to be a viable solution for both fault detection and recovery.

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Varga, Balázs, Mátyás Szalai, Árpád Fehér, Szilárd Aradi, and Tamás Tettamanti. "Mixed-reality Automotive Testing with SENSORIS." Periodica Polytechnica Transportation Engineering 48, no. 4 (August 3, 2020): 357–62. http://dx.doi.org/10.3311/pptr.15851.

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Highly automated and autonomous vehicles become more and more widespread changing the classical way of testing and validation. Traditionally, the automotive industry has pursued testing rather in real-world or in pure virtual simulation environments. As a new possibility, mixed-reality testing has also appeared enabling an efficient combination of real and simulated elements of testing. Furthermore, vehicles from different OEMs will have a common interface to communicate with a test system. The paper presents a mixed-reality test framework for visualizing perception sensor feeds real-time in the Unity 3D game engine. Thereby, the digital twin of the tested vehicle and its environment are realized in the simulation. The communication between the sensors of the tested vehicle and the central computer running the test is realized via the standard SENSORIS interface. The paper outlines the hardware and software requirements towards such a system in detail. To show the viability of the system a vehicle in the loop test has been carried out.

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Godoy, Jorge, Víctor Jiménez, Antonio Artuñedo, and Jorge Villagra. "A Grid-Based Framework for Collective Perception in Autonomous Vehicles." Sensors 21, no. 3 (January 22, 2021): 744. http://dx.doi.org/10.3390/s21030744.

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Today, perception solutions for Automated Vehicles rely on sensors on board the vehicle, which are limited by the line of sight and occlusions caused by any other elements on the road. As an alternative, Vehicle-to-Everything (V2X) communications allow vehicles to cooperate and enhance their perception capabilities. Besides announcing its own presence and intentions, services such as Collective Perception (CPS) aim to share information about perceived objects as a high-level description. This work proposes a perception framework for fusing information from on-board sensors and data received via CPS messages (CPM). To that end, the environment is modeled using an occupancy grid where occupied, and free and uncertain space is considered. For each sensor, including V2X, independent grids are calculated from sensor measurements and uncertainties and then fused in terms of both occupancy and confidence. Moreover, the implementation of a Particle Filter allows the evolution of cell occupancy from one step to the next, allowing for object tracking. The proposed framework was validated on a set of experiments using real vehicles and infrastructure sensors for sensing static and dynamic objects. Results showed a good performance even under important uncertainties and delays, hence validating the viability of the proposed framework for Collective Perception.

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Li, Shengming, Lin Feng, Yunfei Ge, Li Zhu, and Liang Zhao. "An Ensemble Learning Method for Robot Electronic Nose with Active Perception." Sensors 21, no. 11 (June 7, 2021): 3941. http://dx.doi.org/10.3390/s21113941.

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The electronic nose is the olfactory organ of the robot, which is composed of a large number of sensors to perceive the smell of objects through free diffusion. Traditionally, it is difficult to realize the active perception function, and it is difficult to meet the requirements of small size, low cost, and quick response that robots require. In order to address these issues, a novel electronic nose with active perception was designed and an ensemble learning method was proposed to distinguish the smell of different objects. An array of three MQ303 semiconductor gas sensors and an electrochemical sensor DART-2-Fe5 were used to construct the novel electronic nose, and the proposed ensemble learning method with four algorithms realized the active odor perception function. The experiment results verified that the accuracy of the active odor perception can reach more than 90%, even though it used 30% training data. The novel electronic nose with active perception based on the ensemble learning method can improve the efficiency and accuracy of odor data collection and olfactory perception.

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Leemhuis, Erik, Rita Maria Esposito, Luigi De Gennaro, and Mariella Pazzaglia. "Go Virtual to Get Real: Virtual Reality as a Resource for Spinal Cord Treatment." International Journal of Environmental Research and Public Health 18, no. 4 (February 13, 2021): 1819. http://dx.doi.org/10.3390/ijerph18041819.

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Increasingly, refined virtual reality (VR) techniques allow for the simultaneous and coherent stimulation of multiple sensory and motor domains. In some clinical interventions, such as those related to spinal cord injuries (SCIs), the impact of VR on people′s multisensory perception, movements, attitudes, and even modulations of socio-cognitive aspects of their behavior may influence every phase of their rehabilitation treatment, from the acute to chronic stages. This work describes the potential advantages of using first-person-perspective VR to treat SCIs and its implications for manipulating sensory-motor feedback to alter body signals. By situating a patient with SCI in a virtual environment, sensorial perceptions and motor intention can be enriched into a more coherent bodily experience that also promotes processes of neural regeneration and plasticity. In addition to the great potential of research, the most significant areas of interest concern is managing neuropathic pain, motor rehabilitation, and psychological well-being.

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Mirkovic, Bojana, and Dejan Popovic. "Prosthetic hand sensor placement: Analysis of touch perception during the grasp." Serbian Journal of Electrical Engineering 11, no. 1 (2014): 1–10. http://dx.doi.org/10.2298/sjee131004001m.

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Humans rely on their hands to perform everyday tasks. The hand is used as a tool, but also as the interface to ?sense? the world. Current prosthetic hands are based on sophisticated multi-fingered structures, and include many sensors which counterpart natural proprioceptors and exteroceptors. The sensory information is used for control, but not sent to the user of the hand (amputee). Grasping without sensing is not good enough. This research is part of the development of the sensing interface for amputees, specifically addressing the analysis of human perception while grasping. The goal is to determine the small number of preferred positions of sensors on the prosthetic hand. This task has previously been approached by trying to replicate a natural sensory system characteristic for healthy humans, resulting in a multitude of redundant sensors and basic inability to make the patient aware of the sensor readings on the subconscious level. We based our artificial perception system on the reported sensations of humans when grasping various objects without seeing the objects (obstructed visual feedback). Subjects, with no known sensory deficits, were asked to report on the touch sensation while grasping. The analysis included objects of various sizes, weights, textures and temperatures. Based on this data we formed a map of the preferred positions for the sensors that is appropriate for five finger human-like robotic hand. The final map was intentionally minimized in size (number of sensors).

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Brannon, Katrina. "Perception, emotion, and synesthesia: Metaphorical combining in Keats." ExELL 7, no. 2 (December 1, 2019): 135–53. http://dx.doi.org/10.2478/exell-2020-0010.

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Abstract This article attempts to demonstrate the elaboration of poetic conceptual metaphor by way of perception verbs, emotion verbs, and expressions of synesthesia (sensorial mixing and blending). The instances of conceptual metaphor – various, but always emotionally based in nature – generally include expressions of force-dynamics, taking place within the emotional or psychosocial realm. The analyses, while focusing on a textual analysis as a whole, particularly concentrate on the grammatical and stylistic interplay between verbs and prepositions.

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Rosique, Francisca, Pedro J. Navarro, Carlos Fernández, and Antonio Padilla. "A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research." Sensors 19, no. 3 (February 5, 2019): 648. http://dx.doi.org/10.3390/s19030648.

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This paper presents a systematic review of the perception systems and simulators for autonomous vehicles (AV). This work has been divided into three parts. In the first part, perception systems are categorized as environment perception systems and positioning estimation systems. The paper presents the physical fundamentals, principle functioning, and electromagnetic spectrum used to operate the most common sensors used in perception systems (ultrasonic, RADAR, LiDAR, cameras, IMU, GNSS, RTK, etc.). Furthermore, their strengths and weaknesses are shown, and the quantification of their features using spider charts will allow proper selection of different sensors depending on 11 features. In the second part, the main elements to be taken into account in the simulation of a perception system of an AV are presented. For this purpose, the paper describes simulators for model-based development, the main game engines that can be used for simulation, simulators from the robotics field, and lastly simulators used specifically for AV. Finally, the current state of regulations that are being applied in different countries around the world on issues concerning the implementation of autonomous vehicles is presented.

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Maffei, Luigi, Maria Di Gabriele, Giovanni Brambilla, and Patrizio Verardi. "Classification of urban historic areas through multi‐sensorial perception and expectation." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2370. http://dx.doi.org/10.1121/1.3508416.

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Heinen, A., M. Hofmann, and A. Heinen. "Multi sensorial perception of music incorporation with a vibrating rhythmic mat." European Journal of Integrative Medicine 2, no. 4 (December 2010): 261. http://dx.doi.org/10.1016/j.eujim.2010.09.187.

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Gas, Bruno, and Sylvain Argentieri. "Une brève introduction à la perception sensori-motrice en robotique." Intellectica. Revue de l'Association pour la Recherche Cognitive 65, no. 1 (2016): 27–61. http://dx.doi.org/10.3406/intel.2016.1789.

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Danielson, D. Kyle, Alison J. Greuel, and Janet F. Werker. "Visual and sensori-motor influences on speech perception in infancy." Journal of the Acoustical Society of America 134, no. 5 (November 2013): 4237. http://dx.doi.org/10.1121/1.4831572.

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Ruichek, Yassine, Fadi Dornaika, and Maan El Badaoui El Najjar. "Sensors Technologies and Methods for Perception Systems in Intelligent Vehicles." Journal of Sensors 2016 (2016): 1. http://dx.doi.org/10.1155/2016/7241243.

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Chan, Pak Hung, Gunwant Dhadyalla, and Valentina Donzella. "A Framework to Analyze Noise Factors of Automotive Perception Sensors." IEEE Sensors Letters 4, no. 6 (June 2020): 1–4. http://dx.doi.org/10.1109/lsens.2020.2996428.

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Mehrnezhad, Maryam, Ehsan Toreini, Siamak F. Shahandashti, and Feng Hao. "Stealing PINs via mobile sensors: actual risk versus user perception." International Journal of Information Security 17, no. 3 (April 7, 2017): 291–313. http://dx.doi.org/10.1007/s10207-017-0369-x.

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Sun, Yong, Wei Qing Yang, Dan Zhu, Jing Liu, and Ji Rong Xue. "Environmental Perception Internet of Things Intelligent, Network Technology Research and Application." Advanced Materials Research 971-973 (June 2014): 2013–17. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.2013.

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The environmental perception internet of things architecture is proposed. Combined with the specific application, the environmental perception internet of things knowledge base, intelligent optimization methods based on knowledge, and environmental perception internet of things security heterogeneous communication network are proposed. They are applied in vehicles path planning. Combination of different types of sensors, the environmental perception internet of things can be applied to military, security, home and building networks, industrial control, public places surveillance, agriculture control, medical and other fields.

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Van Alphen, Ernst. "Attention for Distraction: Modernity, Modernism and Perception." Text Matters, no. 7 (October 16, 2017): 87–97. http://dx.doi.org/10.1515/texmat-2017-0005.

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Particularly in the latter half of the nineteenth century sensorial experiences changed at breakneck speed. Social and technological developments of modernity like the industrial revolution, rapid urban expansion, the advance of capitalism and the invention of new technologies transformed the field of the senses. Instead of attentiveness, distraction became prevalent. It is not only Baudelaire who addressed these transformations in his poems, but they can also be recognized in the works of novelist Gustave Flaubert and painter Edward Munch. By means of the work of William James, Walter Benjamin, Siegfried Kracauer and Georg Simmel, the repercussions of this crisis of the senses for subjectivity will be discussed.

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Fontao, María del Pilar González. "Capacity for Imagery and Creative Self-Perceptions." Perceptual and Motor Skills 83, no. 3_suppl (December 1996): 1251–55. http://dx.doi.org/10.2466/pms.1996.83.3f.1251.

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The influence of capacity for imagery was studied in the creativity of students in secondary school. Several questionnaires were administered to 1125 students. Analysis of scores indicated few significant correlations as well as low predictive control between scores on the sensorial modalities of the Betts questionnaire, spatial tests, and creativity.

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Rajkumar, Dr S., Aklilu Teklemariam, and Addisalem Mekonnen. "Hybrid Multi-Sensor Integration for Static or Dynamic Obstacle Detection, Tracking and Classification for Autonomous Vehicle." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 22, 2021): 1288–93. http://dx.doi.org/10.51201/jusst/21/06424.

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Autonomous Vehicles (AV) reduces human intervention by perceiving the vehicle’s location with respect to the environment. In this regard, utilization of multiple sensors corresponding to various features of environment perception yields not only detection but also enables tracking and classification of the object leading to high security and reliability. Therefore, we propose to deploy hybrid multi-sensors such as Radar, LiDAR, and camera sensors. However, the data acquired with these hybrid sensors overlaps with the wide viewing angles of the individual sensors, and hence convolutional neural network and Kalman Filter (KF) based data fusion framework was implemented with a goal to facilitate a robust object detection system to avoid collisions inroads. The complete system tested over 1000 road scenarios for real-time environment perception showed that our hardware and software configurations outperformed numerous other conventional systems. Hence, this system could potentially find its application in object detection, tracking, and classification in a real-time environment.

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Journal articles on the topic 'Sensorisk perception'

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