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This paper reports construction of a new device to capture 3D point cloud on human body. The device consists of a horizontal LIDAR, a vertical LIDAR and pan rotational mechanism. The device contain three main features. 1) The device can capture point cloud in large area using combination of the vertical LIDAR and the rotational mechanism. 2) The device can measure dense point cloud using mirror reflection...
Laser based tracking systems have been developed for mobile robotics and intelligent surveillance areas. Existing systems estimate only human positions. In this paper, we propose a method for human pose estimation represented by human head and waist position using only laser range finders. Two features of human cross-sectional contours are extracted from laser scanner data scanning on the height of...
This paper describes an algorithm of behavior labeling and anomaly detection for elder people living alone. In order to grasp the personpsilas life pattern, we set some pyroelectric sensors in the house and measure the personpsilas movement data all the time. From those sequential data, we extract two kinds of information, time and duration, and calculate two-dimensional probabilistic density function...
The technology of RFID has been widely used to develop an asset tracking system in the industrial environment; nevertheless, it has rarely been applied to facilitate human's daily life especially within a residence. Our research aims to develop indoor object management system implemented in a studio-type room environment based on active RFID. To provide object management system requires two primary...
This paper presents a behavior description algorithm from time-series data on daily life activities extracted using home sensors. In a previous work, we proposed a method of time-series data clustering based on hidden Markov models (HMMs). This method separates the time-series data in segments of equally short length, and applies a behavior label for each segment. However, the change points of behaviors...
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