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Relevant bibliographies by topics / Robust Human Detection / Dissertations / Theses

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Dissertations / Theses on the topic 'Robust Human Detection'

Author: Grafiati

Published: 11 September 2023

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1

Li, Ying. "Efficient and Robust Video Understanding for Human-robot Interaction and Detection." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu152207324664654.

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Leu, Adrian [Verfasser]. "Robust Real-time Vision-based Human Detection and Tracking / Adrian Leu." Aachen : Shaker, 2014. http://d-nb.info/1060622432/34.

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Leu, Adrian [Verfasser], Axel [Akademischer Betreuer] Gräser, and Udo [Akademischer Betreuer] Frese. "Robust Real-time Vision-based Human Detection and Tracking / Adrian Leu. Gutachter: Udo Frese. Betreuer: Axel Gräser." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072226340/34.

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Terzi, Matteo. "Learning interpretable representations for classification, anomaly detection, human gesture and action recognition." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3423183.

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The goal of this thesis is to provide algorithms and models for classification, gesture recognition and anomaly detection with a partial focus on human activity. In applications where humans are involved, it is of paramount importance to provide robust and understandable algorithms and models. A way to accomplish this requirement is to use relatively simple and robust approaches, especially when devices are resource-constrained. The second approach, when a large amount of data is present, is to adopt complex algorithms and models and make them robust and interpretable from a human-like point

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Zhu, Youding. "Model-Based Human Pose Estimation with Spatio-Temporal Inferencing." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509.

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Tasaki, Tsuyoshi. "People Detection based on Points Tracked by an Omnidirectional Camera and Interaction Distance for Service Robots System." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180473.

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Yi, Fei. "Robust eye coding mechanisms in humans during face detection." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/31011/.

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We can detect faces more rapidly and efficiently compared to non-face object categories (Bell et al., 2008; Crouzet, 2011), even when only partial information is visible (Tang et al., 2014). Face inversion impairs our ability to recognise faces. The key to understand this effect is to determine what special face features are processed and how coding of these features is affected by face inversion. Previous studies from our lab showed coding of the contralateral eye in an upright face detection task, which was maximal around the N170 recorded at posterior-lateral electrodes (Ince et al., 2016b;

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Alanenpää, Madelene. "Gaze detection in human-robot interaction." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428387.

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The aim of this thesis is to track gaze direction in a human-robot interaction scenario.The human-robot interaction consisted of a participant playing a geographic gamewith three important objects on which participants could focus: A tablet, a sharedtouchscreen, and a robot (called Furhat). During the game, the participant wasequipped with eye-tracking glasses. These collected a first-person view video as wellas annotations consisting of the participant's center of gaze. In this thesis, I aim to usethis data to detect the three important objects described above from the first-personvideo strea

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Antonucci, Alessandro. "Socially aware robot navigation." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/356142.

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A growing number of applications involving autonomous mobile robots will require their navigation across environments in which spaces are shared with humans. In those situations, the robot’s actions are socially acceptable if they reflect the behaviours that humans would generate in similar conditions. Therefore, the robot must perceive people in the environment and correctly react based on their actions and relevance to its mission. In order to give a push forward to human-robot interaction, the proposed research is focused on efficient robot motion algorithms, covering all the tasks needed i

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Briquet-Kerestedjian, Nolwenn. "Impact detection and classification for safe physical Human-Robot Interaction under uncertainties." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC038/document.

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La problématique traitée dans cette thèse vise à développer une stratégie efficace de détection et de classification des impacts en présence d'incertitudes de modélisation du robot et de son environnement et en utilisant un nombre minimal de capteurs, notamment en l'absence de capteur d’effort.La première partie de la thèse porte sur la détection d'un impact pouvant avoir lieu à n'importe quel endroit du bras robotique et à n'importe quel moment de sa trajectoire. Les méthodes de détection d’impacts sont généralement basées sur un modèle dynamique du système, ce qui les rend sujettes au compro

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Linder, Timm [Verfasser], and Kai O. [Akademischer Betreuer] Arras. "Multi-modal human detection, tracking and analysis for robots in crowded environments." Freiburg : Universität, 2020. http://d-nb.info/1228786798/34.

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Zhang, Yan. "Low-Cost, Real-Time Face Detection, Tracking and Recognition for Human-Robot Interactions." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307548707.

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Banerjee, Nandan. "Human Supervised Semi-Autonomous Approach for the DARPA Robotics Challenge Door Task." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/584.

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As the field of autonomous robots continue to advance, there is still a tremendous benefit to research human-supervised robot systems for fielding them in practical applications. The DRC inspired by the Fukushima nuclear power plant disaster has been a major research and development program for the past three years, to advance the field of human supervised control of robots for responding to natural and man-made disasters. The overall goal of the research presented in this thesis is to realise a new approach for semi-autonomous control of the Atlas humanoid robot under discrete commands from t

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Mazhar, Osama. "Vision-based human gestures recognition for human-robot interaction." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS044.

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Dans la perspective des usines du futur, pour garantir une interaction productive, sure et efficace entre l’homme et le robot, il est impératif que le robot puisse interpréter l’information fournie par le collaborateur humain. Pour traiter cette problématique nous avons exploré des solutions basées sur l’apprentissage profond et avons développé un framework pour la détection de gestes humains. Le framework proposé permet une détection robuste des gestes statiques de la main et des gestes dynamiques de la partie supérieure du corps.Pour la détection des gestes statiques de la main, openpose est

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Sahindal, Boran. "Detecting Conversational Failures in Task-Oriented Human-Robot Interactions." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272135.

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In conversations between humans, not only the content of the utterances but also our social signals provide information on the state of communication. Similarly, in the field of human-robot interaction, we want the robots to have the capability of interpreting social signals given by human users. Such social signals can be operationalised in order to detect unexpected behaviours of robots. This thesis work aims to compare machine learning based methods to investigate robots’ recognition of their own unexpected behaviours based on human social signals. We trained support vector machine, random

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Birchmore, Frederick Christopher. "A holistic approach to human presence detection on man-portable military ground robots." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p1464660.

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Thesis (M.S.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed July 2, 2009). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 85-90).

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Alhusin, Alkhdur Abdullah. "Toward a Sustainable Human-Robot Collaborative Production Environment." Doctoral thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202388.

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This PhD study aimed to address the sustainability issues of the robotic systems from the environmental and social aspects. During the research, three approaches were developed: the first one an online programming-free model-driven system that utilises web-based distributed human-robot collaboration architecture to perform distant assembly operations. It uses a robot-mounted camera to capture the silhouettes of the components from different angles. Then the system analyses those silhouettes and constructs the corresponding 3D models.Using the 3D models together with the model of a robotic asse

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Lirussi, Igor. "Human-Robot interaction with low computational-power humanoids." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19120/.

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This article investigates the possibilities of human-humanoid interaction with robots whose computational power is limited. The project has been carried during a year of work at the Computer and Robot Vision Laboratory (VisLab), part of the Institute for Systems and Robotics in Lisbon, Portugal. Communication, the basis of interaction, is simultaneously visual, verbal, and gestural. The robot's algorithm provides users a natural language communication, being able to catch and understand the person’s needs and feelings. The design of the system should, consequently, give it the capability to d

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Taqi, Sarah M. A. M. "Reproduction of Observed Trajectories Using a Two-Link Robot." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308031627.

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Kit, Julian Chua Ying. "The human-machine interface (HMI) and re-bar detection aspects of a non-destructive testing (NDT) robot." Thesis, City University London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245862.

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ANGELONI, Fabio. "Collision Detection for Industrial Applications." Doctoral thesis, Università degli studi di Bergamo, 2017. http://hdl.handle.net/10446/77107.

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In the manufacturing industry, the request of complex products and the decreasing of production time have led to more and more sophisticated CNC-controlled multi-axis machines. Often their setup process is affected by different mistakes caused by the persons responsible that lead to collisions inside the working area. Those collisions often lead to damage the tool and the work piece. The thesis deals with this problem, providing new insights for a fast and robust collision detection. Imagining to start from scratch, through a dynamic analysis of the impact in a mechanical transmission, we re

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Carraro, Marco. "Real-time RGB-Depth preception of humans for robots and camera networks." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426800.

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This thesis deals with robot and camera network perception using RGB-Depth data. The goal is to provide efficient and robust algorithms for interacting with humans. For this reason, a special care has been devoted to design algorithms which can run in real-time on consumer computers and embedded cards. The main contribution of this thesis is the 3D body pose estimation of the human body. We propose two novel algorithms which take advantage of the data stream of a RGB-D camera network outperforming the state-of-the-art performance in both single-view and multi-view tests. While the first algo

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Kim, Ui-Hyun. "Improvement of Sound Source Localization for a Binaural Robot of Spherical Head with Pinnae." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180475.

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Dumora, Julie. "Contribution à l’interaction physique homme-robot : application à la comanipulation d’objets de grandes dimensions." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20030/document.

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La robotique collaborative a pour vocation d'assister physiquement l'opérateur dans ses tâches quotidiennes. Les deux partenaires qui composent un tel système possèdent des atouts complémentaires : physique pour le robot versus cognitif pour l'opérateur. Cette combinaison offre ainsi de nouvelles perspectives d'applications, notamment pour la réalisation de tâches non automatisables. Dans cette thèse, nous nous intéressons à une application particulière qui est l'assistance à la manipulation de pièces de grande taille lorsque la tâche à réaliser et l'environnement sont inconnus du robot. La ma

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Reynaga, Barba Valeria. "Detecting Changes During the Manipulation of an Object Jointly Held by Humans and RobotsDetektera skillnader under manipulationen av ett objekt som gemensamt hålls av människor och robotar." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174027.

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In the last decades research and development in the field of robotics has grown rapidly. This growth has resulted in the emergence of service robots that need to be able to physically interact with humans for different applications. One of these applications involves robots and humans cooperating in handling an object together. In such cases, there is usually an initial arrangement of how the robot and the humans hold the object and the arrangement stays the same throughout the manipulation task. Real-world scenarios often require that the initial arrangement changes throughout the task, there

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Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.

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The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human team

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Iacob, David-Octavian. "Détection du mensonge dans le cadre des interactions homme-robot à l'aide de capteurs et dispositifs non invasifs et mini invasifs." Thesis, Institut polytechnique de Paris, 2019. http://www.theses.fr/2019IPPAE004.

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La Robotique Sociale met l’accent sur l'amélioration de l’aptitude des robots d’interagir avec les humains, y compris la capacité de comprendre leurs interlocuteurs humains. Munis de telles capacités, les robots sociaux peuvent améliorer la qualité de vie de leurs utilisateurs dans une grande variété de contextes: en tant que guides, partenaires de jeux, assistants à domicile, ou, le plus important, pour des buts therapeutiques.Les Robots Sociaux Assistants (RSA) visent à améliorer la qualité de vie de leurs utilisateurs à travers des interactions sociales. Les populations d’utilisateurs vulné

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Malik, Muhammad Usman. "Learning multimodal interaction models in mixed societies A novel focus encoding scheme for addressee detection in multiparty interaction using machine learning algorithms." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMIR18.

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Les travaux de recherche proposés se situe au carrefour de deux domaines de recherche, l'interaction humain-agent et l'apprentissage automatique. L’interaction humain-agent fait référence aux techniques et concepts impliqués dans le développement des agents intelligents, tels que les robots et les agents virtuels, capables d'interagir avec les humains pour atteindre un objectif commun. L’apprentissage automatique, d'autre part, exploite des algorithmes statistiques pour apprendre des modèles de donnée. Les interactions humaines impliquent plusieurs modalités, qui peuvent être verbales comme la

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Lohan, Katrin Solveig [Verfasser]. "A model of contingency detection to spot tutoring behavior and respond to ostensive cues in human-robot-interaction / Katrin Solveig Lohan. Technische Fakultät." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2013. http://d-nb.info/1032453990/34.

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Brèthes, Ludovic. "Suivi visuel par filtrage particulaire : application à l'interaction Homme-robot." Toulouse 3, 2005. http://www.theses.fr/2005TOU30282.

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Cette thèse porte sur la détection et le suivi de personnes ainsi que la reconnaissance de gestes élémentaires à partir du flot vidéo d'une caméra couleur embarquée sur le robot. Le filtrage particulaire très adapté dans ce contexte permet de combiner/fusionner aisément différentes sources de mesures. Nous proposons ici différents schémas de filtrage, où l'information visuelle est prise en compte dans les fonctions d'importance et de vraisemblance au moyen de primitives forme, couleur et mouvement image. Nous évaluons alors quelles combinaisons de primitives visuelles et d'algorithmes de filtr

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Souroulla, Timotheos. "Distributed Intelligence for Multi-Robot Environment : Model Compression for Mobile Devices with Constrained Computing Resources." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302151.

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Human-Robot Collaboration (HRC), where both humans and robots work in the same environment simultaneously, is an emerging field and has increased massively during the past decade. For this collaboration to be feasible and safe, robots need to perform a proper safety analysis to avoid hazardous situations. This safety analysis procedure involves complex computer vision tasks that require a lot of processing power. Therefore, robots with constrained computing resources cannot execute these tasks without any delays, thus for executing these tasks they rely on edge infrastructures, such as remote

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Velor, Tosan. "A Low-Cost Social Companion Robot for Children with Autism Spectrum Disorder." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41428.

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Robot assisted therapy is becoming increasingly popular. Research has proven it can be of benefit to persons dealing with a variety of disorders, such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and it can also provide a source of emotional support e.g. to persons living in seniors’ residences. The advancement in technology and a decrease in cost of products related to consumer electronics, computing and communication has enabled the development of more advanced social robots at a lower cost. This brings us closer to developing such tools at a price that

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Reseco, Bato Miguel. "Nouvelle méthodologie générique permettant d’obtenir la probabilité de détection (POD) robuste en service avec couplage expérimental et numérique du contrôle non destructif (CND)." Thesis, Toulouse, ISAE, 2019. http://www.theses.fr/2019ESAE0014/document.

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L’évaluation des performances des procédures de Contrôle Non Destructifs (CND) en aéronautique est une étape clé dans l’établissement du dossier de certification de l’avion. Une telle démonstration de performances est faite à travers l’établissement de probabilités de détection (Probability Of Detection – POD), qui intègrent l’ensemble des facteurs influents et sources d’incertitudes inhérents à la mise en œuvre de la procédure. Ces études, basées sur des estimations statistiques faites sur un ensemble représentatif d’échantillons, reposent sur la réalisation d’un grand nombre d’essais expérim

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CHOUDHURY, SUBRADEB. "ROBUST HUMAN DETECTION FOR SURVEILLANCE." Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14385.

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ABSTRACT Video Surveillance has received tremendous attention in the present scenario. It has a wide range of applications like it can be used in Border areas of a country or in market areas as well as in the restricted areas for monitoring objects. Human Detection is a field of Video Surveillance where monitoring of humans take place i.e. the human is detected first and its trajectory is estimated for the purpose of monitoring. In this project, a robust human detection method is proposed. The Human Detection System consists of 2 stages. First stage involves Image Pre-processing where

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Lin, You-Rong, and 林佑融. "A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12696932794927637870.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>100<br>We present a novel real-time video-based human fall detection system in this thesis. Because the system is based on a combination of shadow-based features and various human postures, it can distinguish between fall-down and fall-like incidents with a high degree of accuracy. To support effective operation in different viewpoints, we propose a new feature called virtual height that can estimate the body height without 3D model reconstruction. As a result, the model is low computational complexity. Our experiment results demonstrate that the proposed system ca

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Zeng, Hong-Bo, and 曾泓博. "Robust Vision-based Multiple Fingertip Detection and Human Computer Interface Application." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/05658811497165632062.

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碩士<br>國立中央大學<br>資訊工程研究所<br>100<br>Intuitive and easy to use interfaces are very important to a successful product. With the development of technology, gesture-based machine interface has gradually become a trend to replace traditional input devices. For gesture-based machine interface, multiple fingertip detection is a crucial step. The studies of multiple fingertip detection can be classified into two main categories, wearable and markerless. For the former, the users need to wear additional equipment to facilitate the fingertip detection. Considering the inconveniency and the hygiene problem

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Liu, Yuan-Ming, and 劉原銘. "A Robust Image Descriptor for Human Detection Based on HoG and Weber's Law." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/71816414716758896469.

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碩士<br>國立東華大學<br>資訊工程學系<br>99<br>Human detection is essential for many applications such as surveillance and smart car. However, detecting humans in images or videos is a challenging task because of the variable appearance and background clutter. These factors affect significantly human shape. Therefore, in recent years, people are looking for more discriminative descriptors to improve the performance of human detection. In this thesis, a robust descriptor based on HoG and Weber’s Law is proposed. Namely, the proposed descriptor is concatenated by U-HoG and histogram of Weber’s constant. We

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Carvalho, Daniel Chichorro de. "Development of a Facial Feature Detection and Tracking Framework for Robust Gaze Estimation." Master's thesis, 2018. http://hdl.handle.net/10316/86556.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>A estimação remota do olhar é o processo de tentar descobrir a direção do olhar de um humano, e ultimamente, o seu objeto de fixação, tal como os humanos o fazem para comunicar, partindo de informação de imagem capturada remotamente. Este processo é conseguido utilizando informação relativa à orientação da sua cabeça e à geometria dos pontos de referência faciais. Tem muitas aplicações, nomeadamente para Interface Homem-Máquina. No entanto, a deteção e seguimento

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Ong, Kai-Siang, and 王祈翔. "Sensor Fusion Based Human Detection and Tracking System for Human-Robot Interaction." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14286966706841584842.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>100<br>Service robot has received enormous attention with rapid development of high technology in recent years, and it is endowed with the capabilities of interacting with people and performing human-robot interaction (HRI). For this purpose, the Sampling Importance Resampling (SIR) particle filter is adopted to implement the laser and visual based human tracking system when dealing with human-robot interaction (HRI) in real world environment. The sequence of images and the geometric information from measurements are provided by the vision sensor and the laser range

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Schroeder, Kyle Anthony. "Requirements for effective collision detection on industrial serial manipulators." 2013. http://hdl.handle.net/2152/21585.

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Human-robot interaction (HRI) is the future of robotics. It is essential in the expanding markets, such as surgical, medical, and therapy robots. However, existing industrial systems can also benefit from safe and effective HRI. Many robots are now being fitted with joint torque sensors to enable effective human-robot collision detection. Many existing and off-the-shelf industrial robotic systems are not equipped with these sensors. This work presents and demonstrates a method for effective collision detection on a system with motor current feedback instead of joint torque sensors. The e

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Lin, Chun Yi, and 林峻翊. "A service robot with Human Face Detection, Tracking and Gender Recognition." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/32699358169175211690.

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碩士<br>長庚大學<br>電機工程學系<br>101<br>In this study, an automatic guidance vehicle (AGV) service robot system with gender recognition function is proposed. This system can detect and track a pedestrian in front of AGV. Moreover, the gender of the target can be recognized, thus the AGV can provide different information according to the target’s gender. The proposed system can be divided into two parts: the first part is the pedestrian detection and tracking function by the AGV robot, the second part is the gender recognition. In the part of pedestrian detection and tracking, AdaBoost algorithm is used

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Tsou, Tai-Yu, and 鄒岱佑. "Multisensor Fusion Based Large Range Human Detection and Tracking for Intelligent Wheelchair Robots." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/70919194795178363367.

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碩士<br>國立交通大學<br>電控工程研究所<br>102<br>Recently, several robotic wheelchairs have been proposed that employ autonomous functions. In designing wheelchairs, it is important to reduce the accompanist load. To provide such a task, the mobile robot needs to recognize and track people. In this paper, we propose to utilize the multisensory data fusion to track a target accompanist. First, the simultaneous localization and map building is achieved by using the laser range finder (LRF) and inertial sensors with the extended Kalman filter recursively. To track the target person robustly, the accompanist, a

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Wang, Wei-Hang, and 王偉航. "Human Detection and Tracking for Embedded Mobile Robots by Integrating Laser-range-finding and Monocular Imaging." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/27759179454186109767.

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碩士<br>國立清華大學<br>電機工程學系<br>100<br>A fundamental issue for modern service robots is human–robot interaction. In order to perform such a task, these robots need to detect and track people in the surroundings. Especially, to track targets robustly is a indispensable capability of autonomous mobile robots. Thus , a robust human detection and tracking system is an important research area in robotics. In this thesis, we present a system which is able to detect and track people efficiently by integrating laser measurements and monocular camera images information on mobile platform. A laser-based leg

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Chia, Po Chun, and 賈博鈞. "Applying Biped Humanoid Robot Technologies to Fall Down Scenario Designs and Detections for Human." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/78868669441203945307.

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碩士<br>長庚大學<br>醫療機電工程研究所<br>98<br>Preventing Falling down is an important issue for the aging society; therefore, the fall detection is crucial for the healthcare system. Fall signal is generally collected from a 3-axis accelerometer which is placed on the human’s chest, and the collected signal is further analyzed to develop the fall detection algorithms. Nevertheless, it is not easy to collect realistic fall signals because the experiments of falls may cause serious injuries. Therefore, most of collected fall signals are conservative and cannot completely represent the situations of actual fa

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Amaro, Bruno Filipe Viana. "Behavioural attentiveness patterns analysis – detecting distraction behaviours." Master's thesis, 2018. http://hdl.handle.net/1822/66009.

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The capacity of remaining focused on a task can be crucial in some circumstances. In general, this ability is intrinsic in a human social interaction and it is naturally used in any social context. Nevertheless, some individuals have difficulties in remaining concentrated in an activity, resulting in a short attention span. Children with Autism Spectrum Disorder (ASD) are a special example of such individuals. ASD is a group of complex developmental disorders of the brain. Individuals affected by this disorder are characterized by repetitive patterns of behaviour, restricted activities or

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Lee, Ching-Wei, and 李靜微. "The Development of a Rehabilitation and Robot Imitative System Based on the Detection of Human Posture and Behavior." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89250838527567836514.

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碩士<br>淡江大學<br>電機工程學系碩士班<br>103<br>The Development of a Rehabilitation and Robot Imitative System Based on the Detection of Human Posture and Behavior. In this thesis it basically discusses the design and the development of a rehabilitation and robot imitative system based on the detection of human posture and behavior. The rehabilitation system is using the Kinect’sidentification system based on the limb kinetic and joint movement to perform the rehabilitationprocess while in the design of the robot imitative system it extracts the functions of the kinect’s human posture and behavior to build

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(6589922), Ashwin Sasidharan Nair. "A HUB-CI MODEL FOR NETWORKED TELEROBOTICS IN COLLABORATIVE MONITORING OF AGRICULTURAL GREENHOUSES." Thesis, 2019.

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Networked telerobots are operated by humans through remote interactions and have found applications in unstructured environments, such as outer space, underwater, telesurgery, manufacturing etc. In precision agricultural robotics, target monitoring, recognition and detection is a complex task, requiring expertise, hence more efficiently performed by collaborative human-robot systems. A HUB is an online portal, a platform to create and share scientific and advanced computing tools. HUB-CI is a similar tool developed by PRISM center at Purdue University to enable cyber-augmented collaborative in

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Melo, Davide Alexandre Lima. "Seguimento de pessoas e navegação segura para um robô de serviço." Master's thesis, 2015. http://hdl.handle.net/1822/46732.

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores (área de especialização em Microtecnologias e Automação, Controlo e Robótica)<br>The aim of this work is to develop a person following system that also allows safe navigation for a service robot designed to unknown environments. The person following system provides the detection of people based on Laser Range Finder data. The detection process of the target person begins with the implementation of a segmentation technique. The segments obtained are classified based on their geometric characteristics. Each

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