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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...
We propose an approach to estimating human position using multiple dual-type K band microwave Doppler sensors placed at each corner of the room. The feature of our method is to use two different kinds of information in a complementary style. The one is the change in the distance between the target and the sensor calculated from the signal phase change. It has about the wave length accuracy if the...
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...
A new type of magnetically levitated superconducting conveyer for wafer transportation is proposed. At present, wafer fabrication process is carried out in clean rooms. Magnetically levitated conveyer without any mechanical contacts is most useful in such clean rooms. Our system is designed to levitate wafers on a levitated stage with permanent magnets. Vibrations are suppressed by using PD (proportional...
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