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Related papers: Wearable Sensors for Individual Grip Force Profili…

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Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature, biological or biochemical markers, and individual grip…

Wearable sensor systems with transmitting capabilities are currently employed for the biometric screening of exercise activities and other performance data. Such technology is generally wireless and enables the noninvasive monitoring of…

Robotics · Computer Science 2020-11-13 Birgitta Dresp-Langley , Florent Nageotte , Philippe Zanne , Michel de Mathelin

The increase in world elderly population has significantly underlined the need for continuous health care measurement, specifically in rehabilitation monitoring. The new technologies has enabled people to have in home healthcare services,…

Human-Computer Interaction · Computer Science 2020-10-20 Shayan Shokri , Shane Ward , Pierre-Amaury M. Anton , Paolo Siffredi , Guglielmo Papetti

This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non dominant hands of operators performing a robot assisted precision…

Robotics · Computer Science 2021-06-18 Rongrong Liu , Birgitta Dresp-Langley

Wearable devices and sensors have recently become a popular way to collect data, especially in the health sciences. The use of sensors allows patients to be monitored over a period of time with a high observation frequency. Due to the…

Methodology · Statistics 2024-10-16 Nihan Acar-Denizli , Pedro Delicado

Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into somatosensory cognition. Somatosensory cognition is the…

Neurons and Cognition · Quantitative Biology 2022-10-18 Birgitta Dresp-Langley

Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual's behavioral patterns and psychological states can help identify…

Wearable sensors inWireless Body Area Networks (WBANs) provide health and physical activity monitoring. Modern communication systems have extended this monitoring remotely. In this survey, various types of wearable sensors discussed, their…

Systems and Control · Computer Science 2016-11-15 A. Rehman , M. Mustafa , N. Javaid , U. Qasim , Z. A. Khan

Wearable devices that measure and record physiological signals are now becoming widely available to the general public with ever-increasing affordability and signal quality. The data from these devices introduce serious ethical challenges…

Computers and Society · Computer Science 2024-05-27 Keith Davis , Tuukka Ruotsalo

A growing number of wearable devices is becoming increasingly non-invasive, readily available, and versatile for measuring different physiological signals. This renders them ideal for inferring the emotional states of their users. Despite…

Human-Computer Interaction · Computer Science 2022-08-11 Weiwei Jiang , Kangning Yang , Maximiliane Windl , Francesco Chiossi , Benjamin Tag , Sven Mayer , Zhanna Sarsenbayeva

Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite…

Grip force is commonly used as an overall health indicator in older adults and is valuable for tracking progress in physical training and rehabilitation. Existing methods for wearable grip force measurement are cumbersome and…

Human-Computer Interaction · Computer Science 2025-07-29 Kian Mahmoodi , Yudong Xie , Tan Gemicioglu , Chi-Jung Lee , Jiwan Kim , Cheng Zhang

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lack the ability to simultaneously capture breath-force…

Signal Processing · Electrical Eng. & Systems 2025-11-18 Chenyu Tang , Wentian Yi , Zibo Zhang , Edoardo Occhipinti , Luigi G. Occhipinti

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However, readily available industrial grippers typically lack…

Robotics · Computer Science 2023-06-12 Remko Proesmans , Francis wyffels

Continuous health monitoring using wireless body area networks (WBANs) of wearable, epidermal and implantable medical devices is envisioned as a transformative approach to healthcare. Rapid advances in biomedical sensors, low-power…

Signal Processing · Electrical Eng. & Systems 2018-10-02 Nadeen Rishani , Hadeel Elayan , Raed Shubair , Asimina Kiourti

Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This paper discusses the theoretical and practical aspects of using such ambulatory devices for the detection…

Applications · Statistics 2019-10-15 Amit Birenboim , Martin Dijst , Floortje Scheepers , Maartje Poelman , Marco Helbich

The development of smart polymer materials is reviewed and illustrated. Important examples of these polymers include conducting polymers, ionic gels, stimulus-response be used polymers, liquid crystalline polymers and piezoelectric…

Soft robotic fingers can improve adaptability in grasping and manipulation, compensating for geometric variation in object or environmental contact, but today lack force capacity and fine dexterity. Integrated tactile sensors can provide…

Robotics · Computer Science 2024-10-28 Hun Jang , Joonbum Bae , Kevin Haninger

Hand pose tracking is essential for advancing applications in human-computer interaction. Current approaches, such as vision-based systems and wearable devices, face limitations in portability, usability, and practicality. We present a…

Human-Computer Interaction · Computer Science 2025-10-07 Yingjing Xiao , Zhichao Huang , Junbin Ren , Haichuan Song , Yang Gao , Yuting Bai , Zhanpeng Jin
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