Human Activity Recognition Using CNN & LSTM

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of ICITR 2020 - 5th International Conference on Information Technology Research
Subtitle of host publicationTowards the New Digital Enlightenment
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738144030
DOIs
Publication statusPublished - Dec 2 2020
Event5th International Conference on Information Technology Research, ICITR 2020 - Virtual, Moratuwa, Sri Lanka
Duration: Dec 2 2020Dec 4 2020

Publication series

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

Conference

Conference5th International Conference on Information Technology Research, ICITR 2020
CountrySri Lanka
CityVirtual, Moratuwa
Period12/2/2012/4/20

Keywords

  • Convolutional Neural Networks (CNN)
  • Human Activity Recognition
  • Long Short-Term Memory (LSTM)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Instrumentation

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