Features and models for human activity recognition
نویسندگان
چکیده
منابع مشابه
Features and models for human activity recognition
Human Activity Recognition (HAR) is aimed at identifying current subject task performed by a person as a result of analyzing data from wearable sensors. HAR is a very challenging task that has been applied in different areas such as rehabilitation, localization, etc. During the past ten years, plenty of models, number of sensors and sensor placements, and feature transformations have been repor...
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A CBR approach to Human Activity Recognition (HAR) uses the kNN algorithm to classify sensor data into different activity classes. Different feature representation approaches have been proposed for sensor data for the purpose of HAR. These include shallow features, which can either be hand-crafted from the time and frequency domains, or the coefficients of frequency transformations. Alternative...
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Despite the vast amount of research on the analysis of existing and ongoing human activity, there are still significant challenges worthy of address. In this paper, an innovative approach for human action recognition based on discriminative models like CRFs, HCRFs and LDCRFs is proposed. To handle human action recognition, different number of window size ranging from 0 to 7 are applied using a ...
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Context-aware systems are becoming an important part of our everyday life and their ability to accurately recognise the user needs plays a crucial role in their performance. Assistive software would be greatly impaired, were it unable to recognise the current user state, as it would result in inability to correctly assist her. A typical approach in such situations is the employment of probabili...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2015
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.01.082