A Comprehensive Study of Activity Recognition Using Accelerometers
نویسندگان
چکیده
منابع مشابه
A Comprehensive Study of Activity Recognition using Accelerometers
This paper serves a survey and empirical evaluation of the state-of-the-art in activity 1 recognition methods using accelerometers. We examine research that has focused on the selection 2 of activities, the features that are extracted from the accelerometer data, the segmentation of the 3 time-series data, the locations of accelerometers, the selection and configuration trade-offs, the 4 test/r...
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Activity Recognition is a typical classification problem. The goal is to detect and recognize everyday activities of a person. This paper presents our approach to measurements and classification of a person’s movements. This is done by using two 3-axis radio accelerometers attached to the person’s body and by reconstruction and interpretation of the user’s behavior. We compared two machine lear...
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This paper will present the results of the research conducted on wireless accelerometers in fall detection and activity recognition. This research is a part of the Confidence project, whose goal is to provide a health monitoring system for the elderly. Normally, position-based body tags are used to detect postures and activities. This paper reports the results of using accelerometers as both a ...
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Ambient assisted living (AAL) systems need to understand the user’s situation, which makes activity recognition an important component. Falls are one of the most critical problems of the elderly, so AAL systems often incorporate fall detection. We present an activity recognition (AR) and fall detection (FD) system aiming to provide robust real-time performance. It uses two wearable acceleromete...
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Motion ability is one of the most important human properties, including gait as a basis of human transitional movement. Gait, as a biometric for recognizing human identities, can be non-intrusively captured signals using wearable or portable smart devices. In this study gait patterns is collected using a wireless platform of two sensors located at chest and right ankle of the subjects. Then the...
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ژورنال
عنوان ژورنال: Informatics
سال: 2018
ISSN: 2227-9709
DOI: 10.3390/informatics5020027