System to Recommend the Best Place to Live Based on Wellness State of the User Employing the Heart Rate Variability

Abstract-The conditions of the environment a person lives in has a great impact on his wellness state. When buying a new house, it is important to select a place that aids in improving the wellness state of the buyer or, at least, maintains it. A deficient wellness state implies an increase of stress and the effects associated with it. HRV (Heart Rate Variability) allows to measure the stress or wellness levels of a person by measuring the
difference in time between heartbeats. A low HRV is related to high stress levels whereas a high HRV is associated with a high wellness state. In this paper, we present a system that measures wellness and stress levels of home buyers by employing sensors to measure HRV. Our system is able to process the data and to recommend the best neighborhood to live in considering the wellness state of the buyer. Several tests were performed utilizing different locations. In order to determine the best neighborhood, we have developed an algorithm that assigns different values to the area in accordance with the HRV measures. Results show that the system is effective in providing the recommendation of the place that would allow the person to live with the highest wellness state.