Abstract
Phone and PDA mobile devices that recognize a user’s movements and biometric information that can be utilized in a sensor system have been generating interest among users. This paper proposes a low-power management scheme that uses the baseband processor installed in a portable communications device to limit the electric power consumed by the device, along with a human movement detection algorithm that records and predicts the movement of the mobile user in a low-power mode. In addition, a mobile healthcare system is developed to use the proposed scheme and algorithm. This system uses 3-axis accelerometer sensors on an Android platform and calculates the amount of human movement from the sensor output. The user’s uphill, downhill, flat area, climbing stairs, going down stairs, and jogging movements were measured with accuracies of 93.2%, 97.4%, 97.6%, 98.8%, 92.2%, and 90.8%, respectively.
This research is supported by Ministry of Culture, Sports and Tourism(MCST) and Korea Creative Content Agency(KOCCA) in the Culture Technology(CT) Research & Development Program 2009.
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References
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Shin, J., Shin, D., Shin, D., Her, S., Kim, S., Lee, M. (2010). Human Movement Detection Algorithm Using 3-Axis Accelerometer Sensor Based on Low-Power Management Scheme for Mobile Health Care System. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_12
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DOI: https://doi.org/10.1007/978-3-642-13067-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13066-3
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