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Updated: Jul 1, 2026
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Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
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Wearable Leg Movement Monitoring System for High-Precision Real-Time Metabolic Energy Estimation and Motion
Jinfeng Yuan1, Yuzhong Zhang1, Shiqiang Liu1
1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
Research (Washington, D.C.)
|March 19, 2025
Summary
A new wearable leg movement system uses AI to accurately monitor physical activity, personal identity, and energy expenditure. This technology offers improved healthcare insights for conditions like obesity and dementia.
Area of Science:
- Biomechanics
- Wearable Technology
- Machine Learning
Background:
- Accurate human physical activity assessment is crucial for healthcare, particularly for obesity, neurological disorders, and dementia risk.
- Existing wearables like smartwatches lack accuracy for dynamic limb movements and comprehensive motion analysis.
Purpose of the Study:
- To develop a novel wearable leg movement monitoring system for accurate and comprehensive human motion perception.
- To enable real-time multimodal sensing of identity, motion state, speed, and energy expenditure.
Main Methods:
- A custom-made motion sensor integrated with a machine learning algorithm was developed.
- A novel sensing configuration combined lower leg movement velocity and angular rate.
- The system was tested for personal identification, motion-state recognition, locomotion speed, and metabolic energy estimation.
Main Results:
- High accuracy achieved in personal identification (98.7%) and motion-state recognition (93.7%).
- Precise real-time estimations of locomotion speed (3.04%–9.68% error) and metabolic energy (4.18%–14.71% error) were demonstrated for new subjects.
- A general law for extracting metabolic energy from leg movements was verified despite individual gait variations.
Conclusions:
- The wearable system provides reliable leg movement monitoring and quantitative assessment of kinematic and kinetic behaviors.
- It facilitates smart living, personal healthcare, and rehabilitation training through accurate data and gait-based identity authentication.
