Japanese Journal of Applied Physics · 1997 · 27 citations · 10 references
ComputingPhysiologyComputer VisionMovement AnalysisPhysical ActivityMotion AnalysisMotion CaptureMotion EstimationOptical FlowRespiratory MonitoringRespiratory Signal AnalysisActivitiesHeart RateMotion Capture AnalysisPhysical Activity MonitoringPosture MonitoringVelocity Field CharacterizationVelocity Field Measurement
Optical flow visualizes the full-body velocity field, capturing respiration-related breast motion and posture changes in bed. The study aims to develop a fully noncontact, unconstraining method for quantitative body motion evaluation and to propose two parameters for assessing respiratory and physical activity. The method uses image sequence analysis with a spatiotemporal local optimization to compute optical flow, and experiments were performed under controlled posture changes and sleep while recording heart rate, respiration, and video. Heart rate increases, squared motion velocity averages, and field‑averaged motion components all correlate with physical activity magnitude and respiration patterns.
For quantitative evaluation of body motion, a fully noncontact and unconstraining monitoring method was developed by introducing image sequence analysis. A spatiotemporal local optimization method was applied to determine optical flow in the image sequence. The optical flow visualized the apparent velocity field of the entire body motion, including both breast movement of respiration and posture changes in a bed. The experiment was carried out under regulated posture changes and under a sleeping condition by measuring heart rate, respiration and digitized image sequences using a video camera. A temporal increase in heart rate reflected the magnitude of physical activities. We proposed two candidate parameters for evaluation of respiratory and physical activities based on comparison among experimental results. The average of squared motion velocities reflected the magnitude of physical activities. The representative field-averaged component showed a waveform with periodic fluctuation corresponding to that of respiration obtained with a nasal thermistor.
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