Heart rate variability (HRV) extracted from human physiological turn to be important data as indicators of human health. Originally, HRV calculated and monitored from Electrocardiography (ECG) signal. This research proved that photoplethysmography (PPG) as a simple non-invasive method can measure HRV in motion condition. PPG used Light Photo Sensor (LPS) to capture light reflectance intensity on the finger. The signal is sampled, filtered, processed and sent wirelessly through ZigBee protocol. The system applied on glove to make it wearable and easy to wear. Experimental results show that the system functioning properly with HRV received, displayed and recorded by the base station.

The navigation system has been around for many years in terms of map and simple navigation control, and only recently has technology caught up in the idea of the interconnected world, allowing full assist of navigating from one point to another becomes reality. Recently, the architecture of the shopping stores is getting more and more complex and it is hard for the consumers to find their desired store. As the satellite signal cannot be used inside the building, hence, in this project, we propose an indoor navigation system by using the Bluetooth low energy (BLE) signal. The BLE signal is emitted from every BLE beacon in the building and the receiver which is the smartphone will determine which of the beacon is the closest to the receiver and determine the user location. This technique is called fingerprint which is usually used for BLE beacon. The verification tests have been performed in UTHM where the lecture hall complex was used for the test. The results show that the proposed system is able to navigate to the destination accurately.

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