Because of advances in inertial microelectronics and mobile computing technologies, highly accurate sensor hardware
has become ubiquitous in modern smartphones. This paper introduces a framework that networks smartphone devices to
produce body sensor networks for motion capture and activity tracking application areas. Data is transferred in real-time
using the motion cloud, an online gateway and storehouse for inertial data.
The goal of this research is to present a modular methodology for amalgamating smartphone sensor data within a centralized
repository that is suitable for experimental research.
The proposed framework explores solutions for sensor fusion,
data synchronization, data streaming and remote control functionality in smartphones. To demonstrate sensing accuracy,
three
devices are strapped to the motion performer’s arm to record the articulated motion of a hand wave gesture. To demonstrate
continuous sensing, two devices are networked for a period of two hours to identify differences between sedentary and active
comportments.