Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion

A Filippeschi, N Schmitz, M Miezal, G Bleser, E Ruffaldi… - Sensors, 2017 - mdpi.com
Motion tracking based on commercial inertial measurements units (IMUs) has been widely
studied in the latter years as it is a cost-effective enabling technology for those applications …

Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention

PB Shull, W Jirattigalachote, MA Hunt, MR Cutkosky… - Gait & posture, 2014 - Elsevier
The proliferation of miniaturized electronics has fueled a shift toward wearable sensors and
feedback devices for the mass population. Quantified self and other similar movements …

An open-source and wearable system for measuring 3D human motion in real-time

P Slade, A Habib, JL Hicks… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Analyzing human motion is essential for diagnosing movement disorders and
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …

Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review

S Anwer, H Li, MF Antwi-Afari, W Umer… - Journal of Construction …, 2021 - ascelibrary.org
Physical fatigue is a major health and safety–related problem among construction workers.
Many previous studies relied on interviews and/or questionnaire to assess physical fatigue …

User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy

A Tapus, C Ţăpuş, MJ Matarić - Intelligent Service Robotics, 2008 - Springer
This paper describes a hands-off socially assistive therapist robot designed to monitor,
assist, encourage, and socially interact with post-stroke users engaged in rehabilitation …

The kit motion-language dataset

M Plappert, C Mandery, T Asfour - Big data, 2016 - liebertpub.com
Linking human motion and natural language is of great interest for the generation of
semantic representations of human activities as well as for the generation of robot activities …

Practical motion capture in everyday surroundings

D Vlasic, R Adelsberger, G Vannucci… - ACM transactions on …, 2007 - dl.acm.org
Commercial motion-capture systems produce excellent in-studio reconstructions, but offer
no comparable solution for acquisition in everyday environments. We present a system for …

Socially assistive robotics for post-stroke rehabilitation

MJ Matarić, J Eriksson, DJ Feil-Seifer… - … of neuroengineering and …, 2007 - Springer
Background Although there is a great deal of success in rehabilitative robotics applied to
patient recovery post stroke, most of the research to date has dealt with providing physical …

Vision-based teleoperation of shadow dexterous hand using end-to-end deep neural network

S Li, X Ma, H Liang, M Görner, P Ruppel… - … on Robotics and …, 2019 - ieeexplore.ieee.org
In this paper, we present TeachNet, a novel neural network architecture for intuitive and
markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are …

Effects of augmented reality on the performance of teleoperated industrial assembly tasks in a robotic embodiment

F Brizzi, L Peppoloni, A Graziano… - … on Human-Machine …, 2017 - ieeexplore.ieee.org
Teleoperation in robotic embodiments allows operators to perform and program
manipulation tasks with better accuracy, dexterity, and visualization than what is possible …