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![Figure 1.](/view/journals/anpr/54/1/inline-i0003-3006-54-1-2-f01.gif)
Dynamic air-pressure sensor system.
![Figure 2.](/view/journals/anpr/54/1/inline-i0003-3006-54-1-2-f02.gif)
A typical record of respiratory air-pressure waveform obtained from dynamic air-pressure sensor (top) and integral waveform (bottom).
![Figure 3.](/view/journals/anpr/54/1/inline-i0003-3006-54-1-2-f03.gif)
The relationship between TVexp (the expiratory tidal volume) and ∫Pexp (the time integration values of pressure fluctuations extracted from respiratory movement by dynamic air-pressure sensor) for each subject. A strong correlation between TVexp and ∫Pexp was observed for all subjects.
![Figure 1.](/view/journals/anpr/62/3/inline-i0003-3006-62-3-100-f01.png)
Dynamic air pressure sensor.
![Figure 2.](/view/journals/anpr/62/3/inline-i0003-3006-62-3-100-f02.png)
Structure of the dynamic air-pressure detector.
![Figure 3.](/view/journals/anpr/62/3/inline-i0003-3006-62-3-100-f03.png)
A representative respiratory air-pressure waveform obtained from the dynamic air pressure sensor (top) and the integral waveform (bottom) under thinly clothed (left) and thickly clothed (right) conditions.
![Figure 4.](/view/journals/anpr/62/3/inline-i0003-3006-62-3-100-f04.png)
Relationship between expiratory tidal volume (TVexp) and time integration values for air pressure (∫Pexp) for each subject under each clothing condition. Open circles indicate data measured under thinly clothed condition; closed circles, data measured under thickly clothed condition.