Deep Architectures for Human Activity Recognition using 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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Smartphones are quickly becoming a ubiquitous part of life in the Western world. Their embedded sensors have the ability to record a significant amount of data about peoples’ movement. Many smartphone applications already use that data to estimate basic fitness statistics, such as daily step count. However, the simplistic metrics that these applications produce are a poor method of assessing a ...
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Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address HAR problems. Here, a deep network architecture using residual bidirectional long short-term memory (LSTM) cells is proposed. The advantages of the new network include that a bidirectional connection can concatenate th...
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Unlike conventional cameras which capture video at a fixed frame rate, Dynamic Vision Sensors (DVS) record only changes in pixel intensity values. The output of DVS is simply a stream of discrete ON/OFF events based on the polarity of change in its pixel values. DVS has many attractive features such as low power consumption, high temporal resolution, high dynamic range and less storage requirem...
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Human activities are inherently translation invariant and hierarchical. Human activity recognition (HAR), a field that has garnered a lot of attention in recent years due to its high demand in various application domains, makes use of time-series sensor data to infer activities. In this paper, a deep convolutional neural network (convnet) is proposed to perform efficient and effective HAR using...
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ژورنال
عنوان ژورنال: 3C Tecnología_Glosas de innovación aplicadas a la pyme
سال: 2019
ISSN: 2254-4143
DOI: 10.17993/3ctecno.2019.specialissue2.14-35