20 citations · 22 across the 5 of their papers we have counts for
5 papers
AI-assisted Automatic Jump Detection and Height Estimation in Volleyball Using a Waist-worn IMU
Weiyi Xu, Chunzhuo Wang, Meng Shang +4
The physical load of jumps plays a critical role in injury prevention for volleyball players. However, manual video analysis of jump activities is time-intensive and costly, requir…
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition
Meng Shang, Lenore Dedeyne, Jolan Dupont +8
The Otago Exercise Program (OEP) serves as a vital rehabilitation initiative for older adults, aiming to enhance their strength and balance, and consequently prevent falls. While H…
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network
Meng Shang, Lenore Dedeyne, Jolan Dupont +8
The Otago Exercise Program (OEP) represents a crucial rehabilitation initiative tailored for older adults, aimed at enhancing balance and strength. Despite previous efforts utilizi…
A Multi-Stage Temporal Convolutional Network for Volleyball Jumps Classification Using a Waist-Mounted IMU
Meng Shang, Camilla De Bleecker, Jos Vanrenterghem +5
Monitoring the number of jumps for volleyball players during training or a match can be crucial to prevent injuries, yet the measurement requires considerable workload and cost usi…
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models
Meng Shang, Lenore Dedeyne, Jolan Dupont +8
Otago Exercise Program (OEP) is a rehabilitation program for older adults to improve frailty, sarcopenia, and balance. Accurate monitoring of patient involvement in OEP is challeng…