Human activity recognition using wearable sensors
نویسندگان
چکیده
منابع مشابه
Physical Human Activity Recognition Using Wearable Sensors
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors' placement, data pre-proces...
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This thesis investigates the use of wearable sensors to recognize human activity. The activity of the user is one example of context information – others include the user’s location or the state of his environment – which can help computer applications to adapt to the user depending on the situation. In this thesis we use wearable sensors – mainly accelerometers – to record, model and recognize...
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C ontext awareness—determining a person’s current location and recognizing what he or she is doing—is a key functionality in many pervasive computing applications. Locationsensing techniques are based on either relative or absolute position measurements.1 Much of the current research in this area, described in the “Related Work” sidebar, uses absolute-measurement–based approaches (also called r...
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A novel approach for recognizing human activities with wearable sensors is investigated in this article. The key techniques of this approach include the generalized discriminant analysis (GDA) and the relevance vector machines (RVM). The feature vectors extracted from the measured signal are processed by GDA, with its dimension remarkably reduced from 350 to 12 while fully maintaining the most ...
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ژورنال
عنوان ژورنال: System research and information technologies
سال: 2020
ISSN: 2308-8893,1681-6048
DOI: 10.20535/srit.2308-8893.2020.2.03