A Smartphone-based Wellness Assessment Using Mobile Sensors

Abstract

Developments in the Internet of Things (IoT) in recent years has allowed for wireless sensor data to be collected and communicated with more ease than ever. This facility of data acquisition has opened possibilities in a large variety of fields, including potential for a significant impact in health care. This paper introduces a framework using IoT sensors to examine correlations between environmental conditions and overall wellness. The proposed system uses a SimpleLink Bluetooth SensorTag and a mobile application to collect environmental data from a subject’s surroundings on a daily basis. The participants also complete daily surveys, which include modified questions from the Pittsburgh Sleep Quality Index (PSQI), the Perceived Stress Scale (PSS), and the Kessler Psychological Distress Scale (K10). Once any correlations between environmental variables and overall wellness have been determined, it should be possible to use this technology to assess and predict one’s wellness using environmental data.