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• W1507874087 abstract "Accurate recognition of daily activities could be useful in many fields including health, sports, childcare, and homes for the elderly, etc. In this paper, we propose a human action recognition method using data acquired from wearable sensors and learned using a Neural Network. The data collected from the sensors is processed for features using the Akamatsu transform. The Akamatsu Transform is a signal processing technique that given point, P(i) in a signal, N data points before and after the selected point are used to derive the integral and differential transforms, The Akamatsu Integration is an average of the N data points while the differential is the difference between the integral and the original value. Recently, wearable sensors are emerging as an indispensable method to recognize human actions." @default.
• W1507874087 created "2016-06-24" @default.
• W1507874087 creator A5007320839 @default.
• W1507874087 date "2015-05-01" @default.
• W1507874087 modified "2023-09-25" @default.
• W1507874087 title "Human action recognition using wearable sensors and neural networks" @default.
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• W1507874087 doi "https://doi.org/10.1109/ascc.2015.7244580" @default.
• W1507874087 hasPublicationYear "2015" @default.
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