Time series activity classification using gated recurrent units
نویسندگان
چکیده
<span>The population of elderly is growing and projected to outnumber the youth in future. Many researches on assisted living technology were carried out. One focus areas activity monitoring elderly. AReM dataset a time series recognition for seven different types activities, which are bending 1, 2, cycling, lying, sitting, standing walking. In original paper, author used many-to-many Recurrent Neural Network recognition. Here, we introduced classification method where Gated Units with many-to-one architecture classification. The experimental results obtained showed an excellent accuracy 97.14%.</span>
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2021
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v11i4.pp3551-3558