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Journal articles on the topic 'Hand pose sensing'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Bianchi, Matteo, Paolo Salaris, and Antonio Bicchi. "Synergy-based hand pose sensing: Reconstruction enhancement." International Journal of Robotics Research 32, no. 4 (2013): 396–406. http://dx.doi.org/10.1177/0278364912474078.

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Bianchi, Matteo, Paolo Salaris, and Antonio Bicchi. "Synergy-based hand pose sensing: Optimal glove design." International Journal of Robotics Research 32, no. 4 (2013): 407–24. http://dx.doi.org/10.1177/0278364912474079.

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Byun, Jong-Eun, and Tadashi Nagatat. "Active visual sensing of the 3-D pose of a flexible object." Robotica 14, no. 2 (1996): 173–88. http://dx.doi.org/10.1017/s0263574700019081.

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SUMMARYThis paper presents an active visual method for determining the 3-D pose of a flexible object with a hand-eye system. Some simple and effective on-line algorithms to overcome various exceptional situations in chaincoding or determine the object pose more precisely are developed. The pose of a flexible object can be easily changed because of the flexible nature and the prediction of the pose is almost impossible. A new sensing pose is computed by using the image coordinates of the points on the border line of an image window and the current pose of a hand-eye system for the cases that th

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Yu, Tianhong Catherine, Guilin Hu, Ruidong Zhang, et al. "Ring-a-Pose: A Ring for Continuous Hand Pose Tracking." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 4 (2024): 1–30. http://dx.doi.org/10.1145/3699741.

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We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently. Ring-a-Pose imposes minimal obtrusions on the hand, unlike multi-ring or glove systems. It is not affected by the choice of clothing that may cover wrist-worn systems. In a series of three user studies with a total of 36 participants, we evaluate Ring-a-Pose's performance on pose tracking and micro-finger gesture recognition. Without collecting any training data from a user, Ring-a-Pose tr

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Glauser, Oliver, Shihao Wu, Daniele Panozzo, Otmar Hilliges, and Olga Sorkine-Hornung. "Interactive hand pose estimation using a stretch-sensing soft glove." ACM Transactions on Graphics 38, no. 4 (2019): 1–15. http://dx.doi.org/10.1145/3306346.3322957.

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Liu, Yang, Chengdong Lin, and Zhenjiang Li. "WR-Hand." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (2021): 1–27. http://dx.doi.org/10.1145/3478112.

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This paper presents WR-Hand, a wearable-based system tracking 3D hand pose of 14 hand skeleton points over time using Electromyography (EMG) and gyroscope sensor data from commercial armband. This system provides a significant leap in wearable sensing and enables new application potentials in medical care, human-computer interaction, etc. A challenge is the armband EMG sensors inevitably collect mixed EMG signals from multiple forearm muscles because of the fixed sensor positions on the device, while prior bio-medical models for hand pose tracking are built on isolated EMG signal inputs from i

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Chen, Weiya, Chenchen Yu, Chenyu Tu, et al. "A Survey on Hand Pose Estimation with Wearable Sensors and Computer-Vision-Based Methods." Sensors 20, no. 4 (2020): 1074. http://dx.doi.org/10.3390/s20041074.

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Real-time sensing and modeling of the human body, especially the hands, is an important research endeavor for various applicative purposes such as in natural human computer interactions. Hand pose estimation is a big academic and technical challenge due to the complex structure and dexterous movement of human hands. Boosted by advancements from both hardware and artificial intelligence, various prototypes of data gloves and computer-vision-based methods have been proposed for accurate and rapid hand pose estimation in recent years. However, existing reviews either focused on data gloves or on

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He, Bo, Min Li, Renghao Liang, et al. "Optoelectronic-Based Pose Sensing for a Hand Rehabilitation Exoskeleton Continuous Structure." IEEE Sensors Journal 22, no. 6 (2022): 5606–15. http://dx.doi.org/10.1109/jsen.2022.3147227.

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Saggio, Giovanni, Angela Scioscia Santoro, Vito Errico, et al. "A Novel Actuating–Sensing Bone Conduction-Based System for Active Hand Pose Sensing and Material Densities Evaluation Through Hand Touch." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–7. http://dx.doi.org/10.1109/tim.2021.3088486.

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Liu, Xiaobo, Xudong Han, Ning Guo, Fang Wan, and Chaoyang Song. "Bio-Inspired Proprioceptive Touch of a Soft Finger with Inner-Finger Kinesthetic Perception." Biomimetics 8, no. 6 (2023): 501. http://dx.doi.org/10.3390/biomimetics8060501.

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In-hand object pose estimation is challenging for humans and robots due to occlusion caused by the hand and object. This paper proposes a soft finger that integrates inner vision with kinesthetic sensing to estimate object pose inspired by human fingers. The soft finger has a flexible skeleton and skin that adapts to different objects, and the skeleton deformations during interaction provide contact information obtained by the image from the inner camera. The proposed framework is an end-to-end method that uses raw images from soft fingers to estimate in-hand object pose. It consists of an enc

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Zhang, Xie, Chengxiao Li, and Chenshu Wu. "TAPOR: 3D Hand Pose Reconstruction with Fully Passive Thermal Sensing for Around-Device Interactions." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, no. 2 (2025): 1–25. https://doi.org/10.1145/3729499.

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This paper presents the design and implementation of TAPOR, a privacy-preserving, non-contact, and fully passive sensing system for accurate and robust 3D hand pose reconstruction for around-device interaction using a single low-cost thermal array sensor. Thermal sensing using inexpensive and miniature thermal arrays emerges with an excellent utility-privacy balance, offering an imaging resolution significantly lower than cameras but far superior to RF signals like radar or WiFi. The design of TAPOR, however, is challenging, mainly because the captured temperature maps are low-resolution and t

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Kato, Daisuke, Yuichi Kobayashi, Daiki Takamori, Noritsugu Miyazawa, Kosuke Hara, and Dotaro Usui. "Pose Estimation of a Container with Contact Sensing Based on Discrete State Discrimination." Robotics 13, no. 6 (2024): 90. http://dx.doi.org/10.3390/robotics13060090.

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In cases where vision is not sufficiently reliable for robots to recognize an object, tactile sensing can be a promising alternative for estimating the object’s pose. In this paper, we consider the task of a robot estimating the pose of a container aperture in order to select an object. In such a task, if the robot can determine whether its hand with equipped contact sensor is inside or outside the container, estimation of the object’s pose can be improved by reflecting the discrimination to the robotic hand’s exploration strategy. We propose an exploration strategy and an estimation method us

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Huang, Jinmiao, Prakhar Jaiswal, and Rahul Rai. "Gesture-based system for next generation natural and intuitive interfaces." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, no. 1 (2018): 54–68. http://dx.doi.org/10.1017/s0890060418000045.

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AbstractWe present a novel and trainable gesture-based system for next-generation intelligent interfaces. The system requires a non-contact depth sensing device such as an RGB-D (color and depth) camera for user input. The camera records the user's static hand pose and palm center dynamic motion trajectory. Both static pose and dynamic trajectory are used independently to provide commands to the interface. The sketches/symbols formed by palm center trajectory is recognized by the Support Vector Machine classifier. Sketch/symbol recognition process is based on a set of geometrical and statistic

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Prado da Fonseca, Vinicius, Thiago Eustaquio Alves de Oliveira, and Emil M. Petriu. "Estimating the Orientation of Objects from Tactile Sensing Data Using Machine Learning Methods and Visual Frames of Reference." Sensors 19, no. 10 (2019): 2285. http://dx.doi.org/10.3390/s19102285.

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Underactuated hands are useful tools for robotic in-hand manipulation tasks due to their capability to seamlessly adapt to unknown objects. To enable robots using such hands to achieve and maintain stable grasping conditions even under external disturbances while keeping track of an in-hand object’s state requires learning object-tactile sensing data relationships. The human somatosensory system combines visual and tactile sensing information in their “What and Where” subsystem to achieve high levels of manipulation skills. The present paper proposes an approach for estimating the pose of in-h

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Ding, Yitao, Julian Bonse, Robert Andre, and Ulrike Thomas. "In-Hand Grasping Pose Estimation Using Particle Filters in Combination with Haptic Rendering Models." International Journal of Humanoid Robotics 15, no. 01 (2018): 1850002. http://dx.doi.org/10.1142/s0219843618500020.

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Specialized grippers used in the industry are often restricted to specific tasks and objects. However, with the development of dexterous grippers, such as humanoid hands, in-hand pose estimation becomes crucial for successful manipulations, since objects will change their pose during and after the grasping process. In this paper, we present a gripping system and describe a new pose estimation algorithm based on tactile sensory information in combination with haptic rendering models (HRMs). We use a 3-finger manipulator equipped with tactile force sensing elements. A particle filter processes t

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Utsumi, Akira, Tsutomu Miyasato, Fumio Kishino, Jun Ohya, and Ryohei Nakatsu. "Visual Information Sensing Technology. Multiple-Camera Based Hand Pose Estimation Method using Distance Transformation." Journal of the Institute of Image Information and Television Engineers 51, no. 12 (1997): 2116–25. http://dx.doi.org/10.3169/itej.51.2116.

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Liang, Chen, Chun Yu, Yue Qin, Yuntao Wang, and Yuanchun Shi. "DualRing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (2021): 1–27. http://dx.doi.org/10.1145/3478114.

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We present DualRing, a novel ring-form input device that can capture the state and movement of the user's hand and fingers. With two IMU rings attached to the user's thumb and index finger, DualRing can sense not only the absolute hand gesture relative to the ground but also the relative pose and movement among hand segments. To enable natural thumb-to-finger interaction, we develop a high-frequency AC circuit for on-body contact detection. Based on the sensing information of DualRing, we outline the interaction space and divide it into three sub-spaces: within-hand interaction, hand-to-surfac

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Mazhar, Osama, Sofiane Ramdani, and Andrea Cherubini. "A Deep Learning Framework for Recognizing Both Static and Dynamic Gestures." Sensors 21, no. 6 (2021): 2227. http://dx.doi.org/10.3390/s21062227.

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Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dynamic gestures, using simple RGB vision (without depth sensing). This feature makes it suitable for inexpensive human-robot interaction in social or industrial settings. We employ a pose-driven spatial attention strategy, which guides our proposed Static and Dynamic gestures Network—StaDNet. From the image of the human upper body, we estimate his/her depth, along with the region-of-interest around his/her hands. The C

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Kortier, Henk G., Jacob Antonsson, H. Martin Schepers, Fredrik Gustafsson, and Peter H. Veltink. "Hand Pose Estimation by Fusion of Inertial and Magnetic Sensing Aided by a Permanent Magnet." IEEE Transactions on Neural Systems and Rehabilitation Engineering 23, no. 5 (2015): 796–806. http://dx.doi.org/10.1109/tnsre.2014.2357579.

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Hang, Kaiyu, Walter G. Bircher, Andrew S. Morgan, and Aaron M. Dollar. "Hand–object configuration estimation using particle filters for dexterous in-hand manipulation." International Journal of Robotics Research 39, no. 14 (2019): 1760–74. http://dx.doi.org/10.1177/0278364919883343.

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We consider the problem of in-hand dexterous manipulation with a focus on unknown or uncertain hand–object parameters, such as hand configuration, object pose within hand, and contact positions. In particular, in this work we formulate a generic framework for hand–object configuration estimation using underactuated hands as an example. Owing to the passive reconfigurability and the lack of encoders in the hand’s joints, it is challenging to estimate, plan, and actively control underactuated manipulation. By modeling the grasp constraints, we present a particle filter-based framework to estimat

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Herbert, Oswaldo Mendoza, David Pérez-Granados, Mauricio Alberto Ortega Ruiz, Rodrigo Cadena Martínez, Carlos Alberto González Gutiérrez, and Marco Antonio Zamora Antuñano. "Static and Dynamic Hand Gestures: A Review of Techniques of Virtual Reality Manipulation." Sensors 24, no. 12 (2024): 3760. http://dx.doi.org/10.3390/s24123760.

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This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blend

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Kanoulas, Dimitrios, Jinoh Lee, Darwin G. Caldwell, and Nikos G. Tsagarakis. "Center-of-Mass-Based Grasp Pose Adaptation Using 3D Range and Force/Torque Sensing." International Journal of Humanoid Robotics 15, no. 04 (2018): 1850013. http://dx.doi.org/10.1142/s0219843618500135.

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Lifting objects, whose mass may produce high wrist torques that exceed the hardware strength limits, could lead to unstable grasps or serious robot damage. This work introduces a new Center-of-Mass (CoM)-based grasp pose adaptation method, for picking up objects using a combination of exteroceptive 3D perception and proprioceptive force/torque sensor feedback. The method works in two iterative stages to provide reliable and wrist torque efficient grasps. Initially, a geometric object CoM is estimated from the input range data. In the first stage, a set of hand-size handle grasps are localized

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Khan, Arshad, Kuldeep Kaswan, Yan-Tsz Huang, and Zong-Hong Lin. "Self-Powered Solid-Liquid Triboelectric Nanosensor Incorporated with a Thermoelectric Generator-Powered Robotic System for Wireless and Real-Time Detection of Heavy Metal Ions." ECS Meeting Abstracts MA2025-01, no. 37 (2025): 1765. https://doi.org/10.1149/ma2025-01371765mtgabs.

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The integration of the Internet of Things (IoT) into modern life has revolutionized data collection and communication, enhancing efficiency across applications such as healthcare, environmental monitoring, smart agriculture, and wearable electronics. Sensors are at the heart of IoT systems, enabling real-time monitoring and decision-making. Among the pollutants of concern, heavy metal ions like Pb2+, Cr6+, and As3+ pose significant threats due to their toxicity, persistence, and bioaccumulation potential. Traditional wearable chemical sensors for detecting these ions expose users to toxicity r

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Fani, Simone, Simone Ciotti, Manuel G. Catalano, et al. "Simplifying Telerobotics: Wearability and Teleimpedance Improves Human-Robot Interactions in Teleoperation." IEEE Robotics & Automation Magazine 25, no. 1 (2018): 77–88. https://doi.org/10.1109/MRA.2017.2741579.

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In recent years, wearability has become a new fundamental requirement for an effective and lightweight design of human–robot interfaces. Among the different application fields, robotic teleoperation represents the ideal scenario that can largely benefit from wearability to reduce constraints to the human workspace (acting as a master) and enable an intuitive and simplified information exchange within the teleoperator system. This effective simplification is particularly important if we consider the interaction with synergy-inspired robotic devices, i.e., those that are endowed with a red

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Peters, Arne, Arne Schmidt, and Alois Knoil. "Extrinsic Calibration of an Eye-In-Hand 2D LiDAR Sensor in Unstructured Environments Using ICP." IEEE Robotics and Automation Letters 5, no. 2 (2020): 929——936. https://doi.org/10.1109/LRA.2020.2965878.

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We propose a calibration method for the six degrees of freedom (DOF) extrinsic pose of a 2D laser rangefinder mounted to a robot arm. Our goal is to design a system that allows on-site re-calibration without requiring any kind of special environment or calibration objects. By moving the sensor we generate 3D scans of the surrounding area on which we run a iterative closest point (ICP) variant to estimate the missing part of the kinematic chain. With this setup we can simply scale the density and format of our 3D scan by adjusting the robot speed and trajectory, allowing us to exploit the power

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Dingli, Alexiei, Daniel Attard, and Ruben Mamo. "Turning Homes into Low-Cost Ambient Assisted Living Environments." International Journal of Ambient Computing and Intelligence 4, no. 2 (2012): 1–23. http://dx.doi.org/10.4018/jaci.2012040101.

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Today motion recognition has become more popular in areas like health care. In real-time environments, the amount of information and data required to compute the user’s motion is substantial, while the time to collect and process this information are crucial parameters in the performance of a motion recognition system. The nature of the data determines the design of the system. One important aspect of this system is reducing the delay between sensing and recognising a motion, while achieving acceptable levels of accuracy. The detection of humans in images is a challenging problem. In this pape

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Notash, L., and R. P. Podhorodeski. "FIXTURELESS CALIBRATION OF PARALLEL MANIPULATORS." Transactions of the Canadian Society for Mechanical Engineering 21, no. 3 (1997): 273–94. http://dx.doi.org/10.1139/tcsme-1997-0013.

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Identification objective functions considering end effector pose errors and branch end distance errors for the calibration of parallel manipulators are discussed. Based on the elimination of the need for fixturing devices, branch end distance error based objectives are demonstrated preferred. Kinematic calibration models that include device geometric parameters, for the RSI 6 degree of freedom hand controller, are introduced. Calibrations considering more complete models are demonstrated to yield improved calibrations in comparison to models considering only original non-zero length and angle

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Yin, Juan, Mingming Chen, Yuhui Ge, Qingyao Song, and Hua Zheng. "Research on Training Model of Volleyball Based on Flexible Strain Sensing Network for Training." Journal of Sensors 2022 (August 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/3907002.

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This paper provides an in-depth investigation and analysis of volleyball training patterns using a sensing network composed of flexible strain sensors. This paper models the motion of the hand and leg joints based on an improved human posture estimation technique. The pattern recognition of human motion used the fusion of acceleration sensor and spiral meter data, the output of human motion information from the spiral meter, combined with GA-BP neural network algorithm to repair and fuse the output information, effectively improving the accuracy of posture angle measurement. Based on wireless

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Rahman, Mizanur, Lei Meng, Adam J. Mathews, and Steven Bertman. "Spatiotemporal Analysis of Urban Growth and PM2.5 Concentrations in Sylhet, Bangladesh." Atmosphere 15, no. 11 (2024): 1305. http://dx.doi.org/10.3390/atmos15111305.

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Environmental impacts of urbanization, such as increased air pollution, pose significant challenges for developing countries. This study examines land cover changes and their relationship with particulate matter 2.5 (PM2.5) concentrations in two upazilas of Bangladesh from 2001 to 2019 using GIS and remote sensing techniques. Results show significant urban expansion (i.e., increase in built-up area) in both upazilas, corresponding with increasing PM2.5 levels. Linear regression reveals correlations between land cover types and PM2.5 levels. Mixed forests and waterbodies tend to be negatively a

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Pappalardo, Martina, Antonio Virdis, and Enzo Mingozzi. "Energy-Optimized Content Refreshing of Age-of-Information-Aware Edge Caches in IoT Systems." Future Internet 14, no. 7 (2022): 197. http://dx.doi.org/10.3390/fi14070197.

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The Internet of Things (IoT) brings internet connectivity to everyday devices. These devices generate a large volume of information that needs to be transmitted to the nodes running the IoT applications, where they are processed and used to make some output decisions. On the one hand, the quality of these decisions is typically affected by the freshness of the received information, thus requesting frequent updates from the IoT devices. On the other hand, the severe energy, memory, processing, and communication constraints of IoT devices and networks pose limitations in the frequency of sensing

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Mišković, Nikola, Marco Bibuli, Andreas Birk, et al. "CADDY—Cognitive Autonomous Diving Buddy: Two Years of Underwater Human-Robot Interaction." Marine Technology Society Journal 50, no. 4 (2016): 54–66. http://dx.doi.org/10.4031/mtsj.50.4.11.

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AbstractDivers operate in harsh and poorly monitored environments, in which the slightest unexpected disturbance, technical malfunction, or lack of attention can have catastrophic consequences. Motivated by these considerations, the “CADDY—Cognitive Autonomous Diving Buddy” FP7 project sets forth the main goal of developing a cooperative autonomous underwater robotic system to monitor and assist human divers, thus affording them increased levels of safety during the execution of challenging scientific and commercial missions. This article presents the main results obtained in the first 2 years

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Abate, Nicodemo, Crescenzo Violante, and Nicola Masini. "A Semi-Automatic-Based Approach to the Extraction of Underwater Archaeological Features from Ultra-High-Resolution Bathymetric Data: The Case of the Submerged Baia Archaeological Park." Remote Sensing 16, no. 11 (2024): 1908. http://dx.doi.org/10.3390/rs16111908.

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Coastal and underwater archaeological sites pose significant challenges in terms of investigation, conservation, valorisation, and management. These sites are often at risk due to climate change and various human-made impacts such as urban expansion, maritime pollution, and natural deterioration. However, advances in remote sensing (RS) and Earth observation (EO) technologies applied to cultural heritage (CH) sites have led to the development of various techniques for underwater cultural heritage (UCH) exploration. The aim of this work was the evaluation of an integrated methodological approac

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Roy, Anamika, Pantu Kumar Roy, and Shin Young Park. "The Role of Fucoidan in Controlling Listeria monocytogenes Biofilms on Seafood-Contact Surfaces." Applied Sciences 15, no. 11 (2025): 5799. https://doi.org/10.3390/app15115799.

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Seafood-borne pathogens, especially Listeria monocytogenes, pose a significant risk to global health, with the formation of biofilm on abiotic surfaces exacerbating contamination risks in the seafood industry. This investigation evaluates the biofilm inhibition efficacy of fucoidan against L. monocytogenes biofilms on commonly used processing surfaces. The minimum inhibitory concentration (MIC) of fucoidan was determined to be 150 µg/mL, and sub-MIC concentrations (1/8, 1/4, and 1/2 MIC) were assessed for their effects on inhibition of biofilm. This action resulted in a substantial, dose-depen

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Zocchi, Marta, Anush Kumar Kasaragod, Abby Jenkins, et al. "Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems." Remote Sensing 15, no. 12 (2023): 3016. http://dx.doi.org/10.3390/rs15123016.

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Rapid slope instabilities (i.e., rockfalls) involving highway networks in mountainous areas pose a threat to facilities, settlements and life, thus representing a challenge for asset management plans. To identify different morphological expressions of degradation processes that lead to rock mass destabilization, we combined satellite and uncrewed aircraft system (UAS)-based products over two study sites along the State Highway 133 sector near Paonia Reservoir, Colorado (USA). Along with a PS-InSAR analysis covering the 2017–2021 interval, a high-resolution dataset composed of optical, thermal

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Jordan, Brian, Nisha Devasia, Jenna Hong, Randi Williams, and Cynthia Breazeal. "PoseBlocks: A Toolkit for Creating (and Dancing) with AI." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15551–59. http://dx.doi.org/10.1609/aaai.v35i17.17831.

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Body-tracking artificial intelligence (AI) systems like Kinect games, Snapchat Augmented Reality (AR) Lenses, and Instagram AR Filters are some of the most engaging ways students experience AI in their everyday lives. Additionally, many students have existing interests in physical hobbies like sports and dance. In this paper, we present PoseBlocks; a suite of block-based programming tools which enable students to build compelling body-interactive AI projects in any web browser, integrating camera/microphone inputs and body-sensing user interactions. To accomplish this, we provide a custom bloc

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Ding, Ing-Jr, Meng-Chuan Hsieh, and Zhi-Xuan Wu. "A Human Manipulator Collaboration-based Scheme for Object Inspection by Robust and Fast Recognition of Hand Pose Sensing Images of Numeric Symbols Combined with Non-numeric Expressions for Smart Factories." Sensors and Materials 35, no. 3 (2023): 1099. http://dx.doi.org/10.18494/sam4236.

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Zhao, Xuefeng, and Minying Lu. "Design and application of a handball training level evaluation system for college students." Intelligent Decision Technologies 19, no. 2 (2024): 766–80. https://doi.org/10.1177/18724981241303222.

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With the improvement of student education concepts in major sports colleges, new advanced algorithms need to be introduced for the design and modification of handball training for college students. The aim of this study is to design and develop a comprehensive evaluation system for the handball training level of college students, in order to improve training efficiency and athlete skill performance. Given the advancement of current sports education concepts and technological means, we have introduced advanced Azure Kinect dynamic body sensing devices and combined them with the AFM (Advanced Fe

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He, Yi, Keren Fu, Peng Cheng, and Jianwei Zhang. "Facial Expression Recognition with Geometric Scattering on 3D Point Clouds." Sensors 22, no. 21 (2022): 8293. http://dx.doi.org/10.3390/s22218293.

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As one of the pioneering data representations, the point cloud has shown its straightforward capacity to depict fine geometry in many applications, including computer graphics, molecular structurology, modern sensing signal processing, and more. However, unlike computer graphs obtained with auxiliary regularization techniques or from syntheses, raw sensor/scanner (metric) data often contain natural random noise caused by multiple extrinsic factors, especially in the case of high-speed imaging scenarios. On the other hand, grid-like imaging techniques (e.g., RGB images or video frames) tend to

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Lawal, Afolarin, Hannah Kerner, Inbal Becker-Reshef, and Seth Meyer. "Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques." Remote Sensing 13, no. 13 (2021): 2430. http://dx.doi.org/10.3390/rs13132430.

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The inability of a farmer to plant an insured crop by the policy’s final planting date can pose financial challenges for the grower and cause reduced production for a widely impacted region. Prevented planting is primarily caused by excess moisture or rainfall such as the catastrophic flooding and widespread conditions that prevented active field work in the midwestern region of United States in 2019. While the Farm Service Agency reports the number of such “prevent plant” acres each year at the county scale, field-scale maps of prevent plant fields—which would enable analyses related to asses

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Adolf, Jindrich, Jaromir Dolezal, Patrik Kutilek, Jan Hejda, and Lenka Lhotska. "Single Camera-Based Remote Physical Therapy: Verification on a Large Video Dataset." Applied Sciences 12, no. 2 (2022): 799. http://dx.doi.org/10.3390/app12020799.

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In recent years, several systems have been developed to capture human motion in real-time using common RGB cameras. This approach has great potential to become widespread among the general public as it allows the remote evaluation of exercise at no additional cost. The concept of using these systems in rehabilitation in the home environment has been discussed, but no work has addressed the practical problem of detecting basic body parts under different sensing conditions on a large scale. In this study, we evaluate the ability of the OpenPose pose estimation algorithm to perform keypoint detec

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Park, Jinseong, Jeong-Jung Kim, and Doo-Yeol Koh. "Experimental Evaluation of Precise Placement with Pushing Primitive Based on Cartesian Force Control." Applied Sciences 15, no. 1 (2025): 387. https://doi.org/10.3390/app15010387.

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In-hand manipulation with Cartesian-force-control-based pushing primitives is introduced to achieve the precise placement of an object in a desired position at a manufacturing site. In the bin picking process, achieving the desired grasping posture is challenging due to limitations in the sensing and control of the robotic arm, interference from clustered objects, and unintended collisions, which hinder achieving the planned pose. Even under such conditions, in cases that require precise operations, such as manufacturing processes, maintaining a desired placement posture is crucial for the pre

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Drogkoula, Maria, Konstantinos Kokkinos, and Nicholas Samaras. "A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management." Applied Sciences 13, no. 22 (2023): 12147. http://dx.doi.org/10.3390/app132212147.

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This paper offers a comprehensive overview of machine learning (ML) methodologies and algorithms, highlighting their practical applications in the critical domain of water resource management. Environmental issues, such as climate change and ecosystem destruction, pose significant threats to humanity and the planet. Addressing these challenges necessitates sustainable resource management and increased efficiency. Artificial intelligence (AI) and ML technologies present promising solutions in this regard. By harnessing AI and ML, we can collect and analyze vast amounts of data from diverse sour

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Pimentel, Rafael, Carlo Marín, Ludovica De Gregorio, et al. "Validating improved-MODIS products from spectral mixture-Landsat snow cover maps in a mountain region in southern Spain." Proceedings of the International Association of Hydrological Sciences 380 (December 18, 2018): 67–72. http://dx.doi.org/10.5194/piahs-380-67-2018.

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Abstract. Remote sensing is the only feasible data source for distributed modelling of snow in mountain regions on medium to large scales, due to the limited access to these areas together with the lack of dense ground monitoring stations for snow variables. Observations worldwide identify snow cover persistence together with snowfall occurrence as the most affected variables by global warming. In Mediterranean regions, the spatiotemporal evolution of the snow cover can experiment quick changes that result in different accumulation-ablation cycles during the cold season. High frequency sensors

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Qiu, Huajian, Paul Streli, Tiffany Luong, Christoph Gebhardt, and Christian Holz. "ViGather: Inclusive Virtual Conferencing with a Joint Experience Across Traditional Screen Devices and Mixed Reality Headsets." Proceedings of the ACM on Human-Computer Interaction 7, MHCI (2023): 1–27. http://dx.doi.org/10.1145/3604279.

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Teleconferencing is poised to become one of the most frequent use cases of immersive platforms, since it supports high levels of presence and embodiment in collaborative settings. On desktop and mobile platforms, teleconferencing solutions are already among the most popular apps and accumulate significant usage time---not least due to the pandemic or as a desirable substitute for air travel or commuting. In this paper, we present ViGather, an immersive teleconferencing system that integrates users of all platform types into a joint experience via equal representation and a first-person experie

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Whittaker, Charles, and Robert Leconte. "A Hydrograph-Based Approach to Improve Satellite-Derived Snow Water Equivalent at the Watershed Scale." Water 14, no. 21 (2022): 3575. http://dx.doi.org/10.3390/w14213575.

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For the past few decades, remote sensing has been a valuable tool for deriving global information on snow water equivalent (SWE), where products derived from space-borne passive microwave radiometers are favoured as they respond to snow depth, an important component of SWE. GlobSnow, a novel SWE product, has increased the accuracy of global-scale SWE estimates by combining remotely sensed radiometric data with other physiographic characteristics, such as snow depth, as quantified by climatic stations. However, research has demonstrated that passive microwaves algorithms tend to underestimate S

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Kanai, Satoshi, and Jouke C. Verlinden. "Special Issue on Augmented Prototyping and Fabrication for Advanced Product Design and Manufacturing." International Journal of Automation Technology 13, no. 4 (2019): 451–52. http://dx.doi.org/10.20965/ijat.2019.p0451.

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“Don’t automate, augment!” This is the takeaway of the seminal book on the future of work by Davenport and Kirby.*1 The emergence of cyber-physical systems makes radical new products and systems possible and challenges the role of humankind. Throughout the design, manufacturing, use, maintenance, and end-of-life stages, digital aspects (sensing, inferencing, connecting) influence the physical (digital fabrication, robotics) and vice versa. A key takeaway is that such innovations can augment human capabilities to extend our mental and physical skills with computational and robotic support – a n

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Mérida-Quesada, Franko, Fernando Vergara-Valladares, María Eugenia Rubio-Meléndez, et al. "TPC1-Type Channels in Physcomitrium patens: Interaction between EF-Hands and Ca2+." Plants 11, no. 24 (2022): 3527. http://dx.doi.org/10.3390/plants11243527.

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Two-pore channels (TPCs) are members of the superfamily of ligand-gated and voltage-sensitive ion channels in the membranes of intracellular organelles of eukaryotic cells. The evolution of ordinary plant TPC1 essentially followed a very conservative pattern, with no changes in the characteristic structural footprints of these channels, such as the cytosolic and luminal regions involved in Ca2+ sensing. In contrast, the genomes of mosses and liverworts encode also TPC1-like channels with larger variations at these sites (TPC1b channels). In the genome of the model plant Physcomitrium patens we

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Nagata, Kazuyuki. "Special Issue: Sensor-Based-Robotic Hands. Sensing Strategies during Grasping. Part2. Pose Estimation of a Grasped Object." Journal of the Robotics Society of Japan 11, no. 7 (1993): 973–79. http://dx.doi.org/10.7210/jrsj.11.973.

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Sun, Xiu Hua, Chang Lu Gao, and Li Qun Gu. "Synthetic Glass Nanopore for Single Molecule Detection." Applied Mechanics and Materials 229-231 (November 2012): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.197.

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The molecular-scale pore structure, called nanopore, interacting with target molecules in its functionalized lumen, can produce characteristic changes in the pore conductance, which allows us to identify single molecules and simultaneously quantify each target species in the mixture. Nanopore sensors have been created for tremendous biomedical detections, with targets ranging from metal ions, drug compounds and cellular second messengers, to proteins and DNAs. Here we will review our recent discoveries with a lab-in-hand glass nanopore: single-molecule discrimination of chiral enantiomers with

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Wang, Qifu, Meng Gao, Lunjia Zhang, Zhongshan Deng, and Lin Gui. "A Handy Flexible Micro-Thermocouple Using Low-Melting-Point Metal Alloys." Sensors 19, no. 2 (2019): 314. http://dx.doi.org/10.3390/s19020314.

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A handy, flexible micro-thermocouple using low-melting-point metal alloys is proposed in this paper. The thermocouple has the advantages of simple fabrication and convenient integration. Bismuth/gallium-based mixed alloys are used as thermocouple materials. To precisely inject the metal alloys to the location of the sensing area, a micro-polydimethylsiloxane post is designed within the sensing area to prevent outflow of the metal alloy to another thermocouple pole during the metal-alloy injection. Experimental results showed that the Seebeck coefficient of this thermocouple reached −10.54 μV/K

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