The objective of this thesis is to implement the software stack in kernel level for a wearable body sensor device – named BIOMESENSI. The developed software stack enables necessary protocols to allow the users to obtain their vital physiological data when they wear the device. This vital physiological data aggregated and processed by BIOMESENSI, consists of skin and core body temperatures and heart rate. Furthermore, the data can be used to plot electrocardiography (ECG) using an application. Moreover BIOMESENSI is supported with other state of the art sensors including accelerometer and gyroscope to monitor physical activities. Above all, it also has proximity and ambient light sensors for power saving purposes in future applications. Finally, BIOMESENSI provides Bluetooth communication to transfer the processed vital data to the base station (such as android based tablet or mobile) from the sensor nodes. BIOMESENSI uses ARM Cortex M3, which is a 32 bit microcontroller known for its low power consumptions and high performance.
|Commitee:||Chassiakos, Anastasios, Khoo, I-Hung|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/01M(E), Masters Abstracts International|
|Keywords:||Biomesensi, Kernel level|
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