articleJan 1, 2014GOLD OA

Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors

MZMing ZengLTLe T. NguyenBYBo YuOJOle J. MengshoelJZJiang Zhu

Carnegie Mellon University

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Abstract

A variety of real-life mobile sensing applications are becoming available, especially in the life-logging, fitness tracking and health monitoring domains. These applications use mobile sensors embedded in smart phones to recognize human activities in order to get a better understanding of human beha

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Topics & keywords

Topics
Keywords
  • Computer science
  • Convolutional neural network
  • Activity recognition
  • Variety (cybernetics)
  • Artificial intelligence
  • Human life
  • Wireless sensor network
  • Human health
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