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Sensors (Basel, Switzerland)
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July 3, 2019
A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People
Xiaoqun Yu, Shuping Xiong
Applied Ergonomics
|
January 9, 2023
Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people
Xiaoqun Yu, Seonghyeok Park, Shuping Xiong
Frontiers in Bioengineering and Biotechnology
|
March 3, 2020
A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors
Xiaoqun Yu, Hai Qiu, Shuping Xiong
Frontiers in Aging Neuroscience
|
August 2, 2021
A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors
Xiaoqun Yu, Jaehyuk Jang, Shuping Xiong
Ergonomics
|
April 20, 2023
A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect
Taekyoung Kim, Xiaoqun Yu, Shuping Xiong
IEEE Journal of Biomedical and Health Informatics
|
April 4, 2023
Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection
Xiaoqun Yu, Tiejun Ma, Jaehyuk Jang, et al.
Scientific Reports
|
November 7, 2018
Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People
Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu, et al.
Psychological Research
|
April 13, 2026
Effects of dual-axis orientation disparities and visuo-vestibular cue conflicts on perspective taking
Jiaqing Wu, Xiaoqun Yu, Junyu Zhu, et al.
Sensors (Basel, Switzerland)
|
October 28, 2023
TinyFallNet: A Lightweight Pre-Impact Fall Detection Model
Bummo Koo, Xiaoqun Yu, Seunghee Lee, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
July 3, 2019
A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People
Xiaoqun Yu, Shuping Xiong
Applied Ergonomics
|
January 9, 2023
Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people
Xiaoqun Yu, Seonghyeok Park, Shuping Xiong
Frontiers in Bioengineering and Biotechnology
|
March 3, 2020
A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors
Xiaoqun Yu, Hai Qiu, Shuping Xiong
Frontiers in Aging Neuroscience
|
August 2, 2021
A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors
Xiaoqun Yu, Jaehyuk Jang, Shuping Xiong
Ergonomics
|
April 20, 2023
A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect
Taekyoung Kim, Xiaoqun Yu, Shuping Xiong
IEEE Journal of Biomedical and Health Informatics
|
April 4, 2023
Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection
Xiaoqun Yu, Tiejun Ma, Jaehyuk Jang, et al.
Scientific Reports
|
November 7, 2018
Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People
Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu, et al.
Psychological Research
|
April 13, 2026
Effects of dual-axis orientation disparities and visuo-vestibular cue conflicts on perspective taking
Jiaqing Wu, Xiaoqun Yu, Junyu Zhu, et al.
Sensors (Basel, Switzerland)
|
October 28, 2023
TinyFallNet: A Lightweight Pre-Impact Fall Detection Model
Bummo Koo, Xiaoqun Yu, Seunghee Lee, et al.
Page
of 1