研究目的
To investigate the feasibility of estimating the total energy expenditure (TEE) of a human for walking/running activities with micro-Doppler signatures.
研究成果
The study confirmed that strong correlations exist between the micro-Doppler area and the TEE. A regression model was developed to estimate TEE based on micro-Doppler signatures, with estimation errors of 13.2% and 12.3% for two scenarios.
研究不足
The study suffers from limitations due to the small sample size used to build a regression model. The radar setup did not capture vertical motions, which are a significant part of energy expenditure, especially for running activities. Higher carrier frequency radar with a higher analog-to-digital sampling rate is desired for robust measurement.
1：Experimental Design and Method Selection:
The study used Doppler radar to capture micro-Doppler signatures from limb motions and a respiratory gas analyzer to measure the volume of exchanged respiratory gas for reference TEE.
2：Sample Selection and Data Sources:
Seven human subjects performed walking and running activities on a treadmill at five different speeds.
3：List of Experimental Equipment and Materials:
Continuous-wave Doppler radar operating at
4：25 GHz, respiratory gas analysis system (Quark b2, COSMED, Rome, Italy), and a treadmill. Experimental Procedures and Operational Workflow:
Subjects performed walking and running activities on a treadmill at different speeds while their limb motions were captured by Doppler radar and their respiratory gases were analyzed.
5：Data Analysis Methods:
The relationship between the micro-Doppler area and TEE was analyzed, and a regression model was developed to estimate TEE based on micro-Doppler signatures.
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