Analysis of Temporal Features in Data Streams from Multiple Wearable Devices

Extensive efforts have been made in both academia and industry for the research and development of intelligent wearable device. Especially, in recent years, increasing attention in healthcare monitoring systems and applications makes it particularly valuable to coordinate multiple wearable devices to provide diverse personal services. While these devices can collect a vast amount of data, one aspect which cannot be ignored is that given multitude of devices, combining data to derive valuable information requires them to work together without time difference. However, traditional applications directly deal with raw data, regardless of whether there are discrepancies, thus lead to inaccurate analysis results. In this paper, we first discuss the sources of time discrepancy as well as some temporal issues among multiple wearable devices based on Wear-I system. Then, several experiments are designed and the experimental results confirm the existence of time difference. We quantitatively analyze the time discrepancy in the system and find out the temporal features of data streams from the perspective of intra-stream and inter-stream, which provides the basis for further study of synchronization among wearables.