In this paper, we propose to build a comprehensive cyberphysical system (CPS) with virtual
reality (VR) and intelligent sensors for motion recognition and training. We use both …

This paper presents an information-gain-based sensor selection approach as well as a
sensor sensing probability model-based calibration process for multihuman tracking in …

This paper proposes a multi-human locating method for distributed wireless sensor network
with binary pyroelectric infrared sensors. The uniformly deployed infrared sensor network …

This paper proposes a novel multi-human location method for distributed binary pyroelectric
infrared sensor tracking system based on region partition using probabilistic neural network …

Pyro-electric infra red (PIR) sensors have been widely used in different indoor localization
applications during the last decade. These sensors are cheap, non-intrusive, and non …

Cerebral palsy (CP) is a group of non-progressive neuro-developmental conditions
occurring in early childhood that causes movement disorders and physical disability. Many …

This paper presents a compressive tracking framework using distributed binary sensors. The
goal of this research is to achieve the minimum data throughput for an accurate multitarget …

This paper presents a human indoor location design on improved credit and dynamic
pruning algorithm in passive binary pyroelectric infrared (PIR) sensor tracking system …

Binary observation has been widely reported in the literature to localize or track moving
objects due to its simple realization and good performance in improving energy efficiency …

To detect and locate the human target motion precisely, this paper intends to present a
tracking algorithm based on pyroelectric sensor network and video analysis technologies …