Yanxin Zhang
exercise science researcher at University of Auckland in New Zealand
Facts
9 properties- Instance of
- human
- Occupation
- researcher, exercise scientist
- Employer
- University of Auckland[4]
- Position held
- associate professor[3]
- Doctoral student
- Nicolas Kurpiers, Yunru Ma, Bo Sheng, Ye Ma, Paul McAlpine, Elisabeth Williams, yiran jiao, Wikidata item, Wikidata item[7][8][9][10][11][12][13][14][15]
- Given name
- Yanxin[17]
- On focus list of Wikimedia project
- NZThesisProject[18]
- Student
- Hyun Kyung Kim, Wikidata item[5][6]
🏷️ Also known as
en Yanxin Zhang
en Y. Zhang
🔖 Identifiers · 3
- ORCID iD
- 0000-0002-7638-1669
- OpenAlex ID
- A5032744848
- Scopus author ID
- 36452319600
🔗 Connections
Author of 19
A comparison of different machine learning algorithms, types and placements of activity monitors for physical activity classification,
A markless 3D human motion data acquisition method based on the binocular stereo vision and lightweight open pose algorithm,
An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study,
An Industrial Robot-Based Rehabilitation System for Bilateral Exercises,
A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study,
A patient-specific EMG-driven neuromuscular model for the potential use of human-inspired gait rehabilitation robots,
A pilot study of biomechanical and ergonomic analyses of risky manual tasks in physical therapy,
Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia
+11 more
← Authored by 19
A comparison of different machine learning algorithms, types and placements of activity monitors for physical activity classification,
A markless 3D human motion data acquisition method based on the binocular stereo vision and lightweight open pose algorithm,
An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study,
An Industrial Robot-Based Rehabilitation System for Bilateral Exercises,
A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study,
A patient-specific EMG-driven neuromuscular model for the potential use of human-inspired gait rehabilitation robots,
A pilot study of biomechanical and ergonomic analyses of risky manual tasks in physical therapy,
Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia
+11 more
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