Weijun Tao
Biomedical Engineering · 2012
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 22 citations into it
- Physical Therapy, Sports Therapy and Rehabilitation — 9 citations into it
Whom Weijun Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Angelo Maria Sabatini
- Stephen J. Preece
- Frank C. Anderson
- Kamiar Aminian
- David G. Lloyd
- Liang Wang
- Nikolaos V. Boulgouris
- John Yannis Goulermas
- Arash Salarian
- Scott L. Delp
Who trusts Weijun Tao overall
Papers from Weijun Tao's perspective
Ordered by how strongly the researchers Weijun Tao trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing (IEEE Transactions on Biomedical Engineering)
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (Journal of Biomechanics)
- Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications (Comput. Animat. Virtual Worlds)
- Static and dynamic optimization solutions for gait are practically equivalent. (Journal of Biomechanics)
- Activity identification using body-mounted sensors—a review of classification techniques (Physiological Measurement)
- A reliable gait phase detection system (IEEE transactions on neural systems and rehabilitation engineering)
- 3-D model-based tracking of humans in action: a multi-view approach
- Gait Analysis Using a Shoe-Integrated Wireless Sensor System (IEEE Transactions on Information Technology in Biomedicine)
Their papers
- Gait Analysis Using Wearable Sensors (2012) — 1,094 citations