2 citations · 2 across the 2 of their papers we have counts for
5 papers
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…
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments
Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt +3
Eating speed is an important indicator that has been widely investigated in nutritional studies. The relationship between eating speed and several intake-related problems such as o…
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…