End-user programming architecture for physical movement assessment: An interactive machine learning approach

JM Palomares-Pecho, GFM Silva-Calpa… - … Conference on Human …, 2020 - Springer
In this article, we propose an end-user adaptive architecture for movement assessment from
RGB videos. Our method allows physiotherapists to add customized exercises for patients …

AI fitness coach at home using image recognition

H Ji, KS Githinji, T Kenji - 2022 - researchsquare.com
Recently the number of people exercising at home has increased especially due to the
COVID19 pandemic. Therefore, the need for no contact exercise instructions is in great …

Physical exercise form correction using neural networks

C Militaru, MD Militaru, KI Benta - Companion Publication of the 2020 …, 2020 - dl.acm.org
Monitoring and correcting the posture during physical exercises can be a challenging task,
especially for beginners that do not have a personal trainer. Recently, successful mobile …

Real-time rehabilitation exercise performance evaluation system using deep learning and thermal image

CH Huang, CF Lin, CA Chen… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Rehabilitation exercises are a very useful method of physical therapy. Rehabilitation
exercise assistant systems are of three types. The first type provides a platform to perform …

HDL-PSR: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation

V Bijalwan, VB Semwal, G Singh, TK Mandal - Neural processing letters, 2023 - Springer
Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …

iFitness: A Deep Learning-Based Physical Fitness Motion Detection System for Elderly People

WJ Chang, JP Su, CH Chen, SC Liu… - 2021 IEEE 10th …, 2021 - ieeexplore.ieee.org
This paper proposes a deep learning-based physical fitness motion system, named iFitness,
which consists of a camera, an AI edge module, and a fitness management platform. iFitness …

Automatic recognition and assessment of physical exercises from RGB images

QT Pham, VA Nguyen, TT Nguyen… - 2022 IEEE Ninth …, 2022 - ieeexplore.ieee.org
Physical exercises are important for a healthy life. However, many people do the exercises
without professional assistance, especially when practicing at home during Covid-19 …

Monocular camera-based online sensor-to-segment calibration for upper body pose estimation

T Li, T Dong - Sensors and Actuators A: Physical, 2023 - Elsevier
Robot-assisted rehabilitation training usually requires body pose estimation for either
evaluation or robot control. Wearable sensors such as inertial measurement units (IMUs) …

SR-POSE: A Novel Non-contact Real-time Rehabilitation Evaluation Method Using Lightweight technology

K Zhang, P Zhang, X Tu, Z Liu, P Xu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Rehabilitation movement assessment often requires patients to wear expensive and
inconvenient sensors or optical markers. To address this issue, we propose a non-contact …

Functional motion detection based on artificial intelligence

L Huang, G Liu - The Journal of Supercomputing, 2022 - Springer
Sports injuries can be a major problem for athletes. Therefore, sports injury protection has
become a key focus of attention in sports and medical circles. With widening participation in …