Abstract—Because of advances in ine

Abstract—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 amalgamation 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 compartment.
Index Terms Body Sensor Network, Motion Capture, Activity
Tracking, Animation, Smartphone

ผลลัพธ์ (อังกฤษ) 2:

Abstract-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 amalgamation 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 Networked Devices are for a period of Two hours to Identify Differences between sedentary and Active compartment.
Index Terms Body Sensor Network, Motion Capture, Activity.
Tracking, Animation, Smartphone

ผลลัพธ์ (อังกฤษ) 3:

Abstract - 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 cloudAn online gateway and storehouse for inertial data. The goal of this research is to present a modular methodology for. Amalgamation smartphone sensor data within a centralized repository that is suitable for experimental research. The proposed. Framework explores solutions for fusion sensor, synchronization data, streaming data 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 compartment.
Index Terms Body, Sensor Network Motion Capture Activity
Tracking,,, ,, Animation Smartphone