Che-Chang Yang
Biomedical Engineering · 2010
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 9 citations into it
- Physical Therapy, Sports Therapy and Rehabilitation — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Che-Chang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Mannini
- Guy Plasqui
- Angelo Maria Sabatini
- Hylton B. Menz
- Bijan Najafi
- Stephen R. Lord
- Kamiar Aminian
Who trusts Che-Chang Yang overall
Papers from Che-Chang Yang's perspective
Ordered by how strongly the researchers Che-Chang Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water (Obesity)
- Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
- Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (Physiological Measurement)
- Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers (Italian National Conference on Sensors)
- Validation of the RT3 triaxial accelerometer for the assessment of physical activity. (Medicine & Science in Sports & Exercise)
- Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly (IEEE Transactions on Biomedical Engineering)
- Estimation of gait cycle characteristics by trunk accelerometry. (Journal of Biomechanics)
- Direct measurement of human movement by accelerometry. (Medical Engineering and Physics)
- Age-related differences in walking stability. (Age and Ageing)
- How to assess physical activity? How to assess physical fitness? (European Journal of Cardiovascular Prevention & Rehabilitation)
Their papers
- A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring (2010) — 1,092 citations