Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study
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AutorOlivares, Alberto; Ramírez Pérez de Inestrosa, Javier; Olivares Ruiz, Gonzalo; Damas Hermoso, Miguel
Activity detectionInertial sensorsHuman body monitoringActivity recognitionIMUZUPTCalibration
Olivares, A.; et al. Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study. Sensors, 12(5): 5791-5814 (2012). [http://hdl.handle.net/10481/28451]
PatrocinadorThis work was partly supported by the MICINN under the TEC2008-02113/TEC project and the Consejería de Innovación, Ciencia y Empresa (Junta de Andalucía, Spain) under the Excellence Projects P07-TIC-02566, P09-TIC-4530 and P11-TIC-7103.
Determination of (in)activity periods when monitoring human body motion is a mandatory preprocessing step in all human inertial navigation and position analysis applications. Distinction of (in)activity needs to be established in order to allow the system to recompute the calibration parameters of the inertial sensors as well as the Zero Velocity Updates (ZUPT) of inertial navigation. The periodical recomputation of these parameters allows the application to maintain a constant degree of precision. This work presents a comparative study among different well known inertial magnitude-based detectors and proposes a new approach by applying spectrum-based detectors and memory-based detectors. A robust statistical comparison is carried out by the use of an accelerometer and angular rate signal synthesizer that mimics the output of accelerometers and gyroscopes when subjects are performing basic activities of daily life. Theoretical results are verified by testing the algorithms over signals gathered using an Inertial Measurement Unit (IMU). Detection accuracy rates of up to 97% are achieved.