Human Activity Recognition Using CNN & LSTM

Chamani Shiranthika, Nilantha Premakumara, Huei Ling Chiu, Hooman Samani, Chathurangi Shyalika, Chan Yun Yang

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

In identifying objects, understanding the world, analyzing time series and predicting future sequences, the recent developments in Artificial Intelligence (AI) have made human beings more inclined towards novel research goals. There is a growing interest in Recurrent Neural Networks (RNN) by AI researchers today, which includes major applications in the fields of speech recognition, language modeling, video processing and time series analysis. Recognition of Human Behavior or the Human Activity Recognition (HAR) is one of the difficult issues in this wonderful AI field that seeks answers. As an assistive technology combined with innovations such as the Internet of Things (IoT), it can be primarily used for eldercare and childcare. HAR also covers a broad variety of real-life applications, ranging from healthcare to personal fitness, gaming, military applications, security fields, etc. HAR can be achieved with sensors, images, smartphones or videos where the advancement of Human Computer Interaction (HCI) technology has become more popular for capturing behaviors using sensors such as accelerometers and gyroscopes. This paper introduces an approach that uses CNN and Long Short-Term Memory (LSTM) to predict human behaviors on the basis of the WISDM dataset.

原文英語
主出版物標題Proceedings of ICITR 2020 - 5th International Conference on Information Technology Research
主出版物子標題Towards the New Digital Enlightenment
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9780738144030
DOIs
出版狀態已發佈 - 12月 2 2020
事件5th International Conference on Information Technology Research, ICITR 2020 - Virtual, Moratuwa, 斯里兰卡
持續時間: 12月 2 202012月 4 2020

出版系列

名字Proceedings of ICITR 2020 - 5th International Conference on Information Technology Research: Towards the New Digital Enlightenment

會議

會議5th International Conference on Information Technology Research, ICITR 2020
國家/地區斯里兰卡
城市Virtual, Moratuwa
期間12/2/2012/4/20

ASJC Scopus subject areas

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 電腦視覺和模式識別
  • 儀器

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