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Injury duo to falling has accounted for a significant portion of accident. In order to provide prompt first-aid service to the victims, automatic and wearable devices are necessary to report the accident as soon as it occurs. This paper presents an intelligent shoe system which can not only detect the fall, but also classify the fall direction, especially the serious backward fall. In the prototype,...
In this paper, we aim to study and classify gait patterns among flat walking, descending stairs, and ascending stairs using inertial measurement unit (IMU) including triaxial accelerometers and gyroscopes. Six subjects were invited to gather gait data of flat walking, descending stairs, and ascending stairs wearing the shoe-integrated system with free speeds. The design of the classifier for identifying...
This paper presents a method for modeling human abnormal gait using hidden Markov model under the framework of a shoe-integrated system. The intelligent system focuses on modeling the following patterns: normal gait, toe in and toe out gait abnormalities. In the developed prototype, an inertial measurement unit (IMU) consisting of three-dimensional gyroscopes and accelerometers is employed to measure...
Human gait is a kind of dynamic biometrical feature which is complex and difficult to imitate, it is unique and more secure than static features such as password, fingerprint and facial feature. Analyzing people walking patterns, their "step-prints", can lead to the recognition of personal identity. In this paper, we propose to design, build, calibrate, analyze, and use wearable intelligent...
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