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 …

Metrology has a key position in networked, adaptive production, with the task of a holistic
and valid assessment of the state of various production scenarios. With the diminishing …

This paper presents an encoded smart floor for multiple human localization, include binary
sensor designing, space encoding and decoding scheme. This system can localize a group …

With the ever increasing aging population and others in need of close monitoring, there is a
profound demand for an efficient and economical counter-emergency system. This paper …

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 …

In der vernetzten, adaptiven Produktion fällt der Messtechnik mit der Aufgabe einer
ganzheitlichen, validen Zustandserfassung unterschiedlicher Produktionsszenarien eine …

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 …

This paper presents a Bayesian approach to energy efflcient and data-efflcient target
localization using binary sensor networks. The novelty of this work lies in that the methods of …