Learn More
This paper presents a novel human tracking scheme by using pyroelectric infrared sensors. The scheme includes the visibility modulation of each sensor detector, the layout of the system, the localization and tracking algorithms. The results from the 3D simulations using Webots and Matlab together validate our scheme, and comparisons with other related(More)
Device-free motion tracking with radio tomographic networks using received signal strength (RSS) measurements has attracted considerable research efforts. Since the motion scene to be reconstructed can often be assumed sparse, i.e., it consists only of several targets, the Compressed Sensing (CS) framework can be applied. We cast the motion tracking as a CS(More)
Healthy aging is one of the most important social issues. In this paper, we propose a method for abnormal activity detection without any manual labeling of the training samples. By leveraging the Field of View (FOV) modulation, the spatio-temporal characteristic of human activity is encoded into low-dimension data stream generated by the ceiling-mounted(More)
This paper presents a human indoor localization system using ceiling mounted pyroelectric infrared (PIR) sensors. The field of views (FOVs) of the PIR sensors is modulated by two degrees of freedom (DOF) of spatial segmentation. The localization algorithm is proposed to fuse the data stream generated from different sensor nodes within the wireless network.(More)
OBJECTIVES Banxia Baizhu Tianma Decoction (BBTD) is widely used to treat vertebrobasilar insufficiency vertigo (VBIV) in China, but its efficacy remains largely unexplored. We systemically summarized relevant evidence from randomized controlled trials (RCTs) to assess the therapeutic effect of BBTD. METHODS Seven electronic databases were searched for(More)
This paper presents a compressive classification approach for human motion by using pyroelectric infrared (PIR) sensors. We represent a human motion as a spatio-temporal energy sequence (STES) which is extracted from an infrared radiation domain. The proposed approach consists of two major parts: a compressive sensing unit and an orthogonal-view sensing(More)
Indoor human tracking and activity recognition are fundamental yet coherent problems for ambient assistive living. In this paper, we propose a method to address these two critical issues simultaneously. We construct a wireless sensor network (WSN), and the sensor nodes within WSN consist of pyroelectric infrared (PIR) sensor arrays. To capture the(More)
Fall is a common daily activity and a leading cause of death among the older adults. It reveals growing demands to use some non-invasive methods to detect the pose of older people and give a timely and efficient alert, especially in some place with high fall-risk. This article presents a radio tomographic imaging (RTI) based approach for fall detection. A(More)
  • 1