Heart Rate Variability (HRV) testing aids in evaluating the body's ability to adapt to physical and mental stress. With the advent of computers, there are growing interests on recognizing context generated from human known as human activity recognition. The recognition of human activities has gained a higher interest in this field. Thus, this paper aims at recognizing the human activities by evaluating the HRV in real time, using a Pulse Sensor and by transferring the data serially from Arduino

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... to MATLAB for classifying the activities and recognizing them. The paper also utilizes the data obtained from Wearable Action Recognition Database (WARD) database by creating a test data from the available dataset to implement the classifier algorithm.