Smart neck-band for rehabilitation of musculoskeletal disorders

KVR Kumar, S Elias - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Musculoskeletal disorders (MSD) are the second leading cause of disability and one-fifth of
adults worldwide have been reporting about neck pain annually. Accidents, sudden jolts …

[HTML][HTML] Estimation of One-Repetition Maximum, Type, and Repetition of Resistance Band Exercise Using RGB Camera and Inertial Measurement Unit Sensors

B Hwang, G Shim, W Choi, J Kim - Sensors, 2023 - mdpi.com
Resistance bands are widely used nowadays to enhance muscle strength due to their high
portability, but the relationship between resistance band workouts and conventional …

Seven things to know about exercise monitoring with inertial sensing wearables

V Phan, K Song, RS Silva, KG Silbernagel… - Authorea …, 2023 - techrxiv.org
Objective: Exercise monitoring with low-cost wearables could improve the efficacy of remote
physical-therapy prescriptions by tracking compliance and informing the delivery of tailored …

[HTML][HTML] Real-Time Exercise Mode Identification with an Inertial Measurement Unit for Smart Dumbbells

Y Shiao, T Hoang, PY Chang - Applied Sciences, 2021 - mdpi.com
Exercise is good for health, quality of life, and maintenance of human muscles. Dumbbells
are popular indoor exercise equipment with several benefits such as low cost, high flexibility …

Including Measurement Uncertainty to Improve the Reliability of Classification ANN

M Carratù, V Gallo, V Laino, C Liguori… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The widespread application of Artificial Neural Networks in various fields that can be
potentially life-threatening has raised questions about the quality and reliability of their …

MyoTrack: Tracking subject participation in robotic rehabilitation using sEMG and IMU

S Pareek, H Manjunath, ET Esfahani… - … on Medical Robotics …, 2019 - ieeexplore.ieee.org
In this paper, we present MyoTrack, a two-step classification routine that uses a wearable
surface electromyography (sEMG) sensor to identify the level of subject participation during …

Inertial measurement unit–based cricket stroke improviser using polynomial kernel support vector machines

N Nithya, G Nallavan - Proceedings of the Institution of …, 2022 - journals.sagepub.com
Wearable devices have now become virtual assistants, and the sports industry also aims in
technological integration. The objective of this research article is to introduce a wearable …

A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor

G Prabhu, NE O'Connor, K Moran - International Conference on Wireless …, 2020 - Springer
The ability to accurately and automatically recognize and count the repetitions of exercises
using a single sensor is essential for technology-assisted exercise-based rehabilitation. In …

基于单目摄像头的自主健身监测系统.

余鹏, 刘兰, 蔡韵, 何煜… - Journal of Zhejiang …, 2021 - search.ebscohost.com
随着在线健身资源的日益丰富, 自主健身已成为新的运动趋势. 然而由于缺少专业健身教练的
动作指导与纠正, 自主健身通常无法保障健身效果且容易造成运动损伤, 因此需要对健身动作 …

Improving Articulated Pose Tracking and Contact Force Estimation for Qualitative Assessment of Human Actions

N Louis - 2024 - deepblue.lib.umich.edu
Using video to automate human performance metrics or skill analysis is an important but
underexplored task. Currently, measuring the quality of an action can be highly subjective …