Drowsiness Detection System Using Heartbeat Rate in Android-Based Handheld Devices

Driving is a common activity in every person's daily life which is important to make sure it is safe and secure. Although many rules have been implemented to manage the traffic, accident such as collision are still happened. One of contributed factor to this is drowsy driving. We developed a drowsiness detection system using the information of ECG signal to minimalize the risk of the accident. ECG signal acquired from a sensor, which then transferred via Bluetooth to android device to calculated power ratio by applying hamming window and FFT technique. As the ratio decreasing, the system will activate the alarm which indicate the driver is drowsy.