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Gait analysis can convey important information about one's physical and cognitive condition. Wearable inertial sensor systems can be used to continuously and unobtrusively assess gait during everyday activities in uncontrolled environments. An important step in the development of such systems is the processing and analysis of the sensor data. This paper presents a symbol-based method used to detect...
An accelerometer-based motion sensing framework is developed for analyzing human motion (gait). In comparison to vision based motion sensing systems, this framework is extremely low in cost and weight, and is also portable to wide variety of places; even to the patient's personal room. On the other hand the device has minimum affect on the patient's normal motion. In this paper we will present the...
In this paper a method for footstep detection and gait event identification is presented. A three-axis accelerometer can be mounted on someonepsilas foot to record the acceleration signals produced by their gait. The data can be analysed in real time or after a period of time to identify the gait events and their respective acceleration values. Data analysis consists of signal processing in order...
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