12,680 research outputs found
Sensing Movement: Microsensors for Body Motion Measurement
Recognition of body posture and motion is an important physiological function that can keep the body in balance. Man-made motion sensors have also been widely applied for a broad array of biomedical applications including diagnosis of balance disorders and evaluation of energy expenditure. This paper reviews the state-of-the-art sensing components utilized for body motion measurement. The anatomy and working principles of a natural body motion sensor, the human vestibular system, are first described. Various man-made inertial sensors are then elaborated based on their distinctive sensing mechanisms. In particular, both the conventional solid-state motion sensors and the emerging non solid-state motion sensors are depicted. With their lower cost and increased intelligence, man-made motion sensors are expected to play an increasingly important role in biomedical systems for basic research as well as clinical diagnostics
Invariant EKF Design for Scan Matching-aided Localization
Localization in indoor environments is a technique which estimates the
robot's pose by fusing data from onboard motion sensors with readings of the
environment, in our case obtained by scan matching point clouds captured by a
low-cost Kinect depth camera. We develop both an Invariant Extended Kalman
Filter (IEKF)-based and a Multiplicative Extended Kalman Filter (MEKF)-based
solution to this problem. The two designs are successfully validated in
experiments and demonstrate the advantage of the IEKF design
PhD forum: extracting similar patterns of behavior with a network of binary sensors
The aging population is continuously growing and this results in increasing the demands for using technologies to help to manage the rapidly growing sector of the elderly population. To contribute in this effort, we propose a method that can find similar patterns of behavior for extended durations. Our method uses motion sensors as a privacy-aware alternative to cameras. We compute three initial parameters to extract similar patterns of behavior: (1) movement in spot; (2) movement between rooms; and (3) movement within rooms. The three parameters demonstrate good similarity indicators for finding patterns of behavior between each pair of days
Low-cost autonomous 3-D monitoring systems for hydraulic engineering environments and applications with limited accuracy requirements
The details of developing autonomous 3-D motion monitoring systems based on commercial off-the-shelf (COTS) motion sensors for hydraulic environments are discussed. Possible areas of application, are river bed sediment transport monitoring and monitoring the agitation and other physical parameters inside milk vats with a mechanized agitator. Simplified calculations of inertial navigation systems (INSs) such as Euler angle method, MATLAB programs for further processing, power management systems for autonomous operation including the possibility of inductive power transfer (IPT) and use of microelectromechanical systems (MEMS) technology are discussed. Experimental results for proof of concept systems are highlighted
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