A review of computer vision-based approaches for physical rehabilitation and assessment

B Debnath, M O'brien, M Yamaguchi, A Behera - Multimedia Systems, 2022 - Springer
The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …

[HTML][HTML] Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

Mars: mmwave-based assistive rehabilitation system for smart healthcare

S An, UY Ogras - ACM Transactions on Embedded Computing Systems …, 2021 - dl.acm.org
Rehabilitation is a crucial process for patients suffering from motor disorders. The current
practice is performing rehabilitation exercises under clinical expert supervision. New …

A survey of vision-based human action evaluation methods

Q Lei, JX Du, HB Zhang, S Ye, DS Chen - Sensors, 2019 - mdpi.com
The fields of human activity analysis have recently begun to diversify. Many researchers
have taken much interest in developing action recognition or action prediction methods. The …

mri: Multi-modal 3d human pose estimation dataset using mmwave, rgb-d, and inertial sensors

S An, Y Li, U Ogras - Advances in Neural Information …, 2022 - proceedings.neurips.cc
The ability to estimate 3D human body pose and movement, also known as human pose
estimation (HPE), enables many applications for home-based health monitoring, such as …

Aifit: Automatic 3d human-interpretable feedback models for fitness training

M Fieraru, M Zanfir, SC Pirlea, V Olaru… - Proceedings of the …, 2021 - openaccess.thecvf.com
I went to the gym today, but how well did I do? And where should I improve? Ah, my back
hurts slightly... User engagement can be sustained and injuries avoided by being able to …

Mm-fi: Multi-modal non-intrusive 4d human dataset for versatile wireless sensing

J Yang, H Huang, Y Zhou, X Chen… - Advances in …, 2024 - proceedings.neurips.cc
Abstract 4D human perception plays an essential role in a myriad of applications, such as
home automation and metaverse avatar simulation. However, existing solutions which …

AI-driven stroke rehabilitation systems and assessment: A systematic review

S Rahman, S Sarker, AKMN Haque… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Post-stroke therapy restores lost skills. Traditionally, patients are supported by skilled
therapists who monitor their progress and evaluate the program's effectiveness. Due to a …

Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

[PDF][PDF] Vision-based Action Understanding for Assistive Healthcare: A Short Review.

MAR Ahad, AD Antar, O Shahid - CVPR Workshops, 2019 - openaccess.thecvf.com
The scarcity of trained therapist, economic imbalance, and an increasing amount of elderly
people are the reasons for poor rehabilitation treatment and inadequate healthcare facilities …