A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

@inproceedings{Janidarmian2017ACA,
  title={A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition},
  author={Majid Janidarmian and Atena Roshan Fekr and Katarzyna Radecka and Zeljko Zilic},
  booktitle={Sensors},
  year={2017}
}
Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine learning techniques to make sense of low-level sensor data and provide rich contextual information in a real-life application. Although Human Activity Recognition (HAR) problem has been drawing the attention of researchers, it is still a subject of much debate due to the diverse nature of human activities and their tracking methods. Finding the best predictive model in this problem while… CONTINUE READING
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Analysis of Motion Patterns for Recognition of Human Activities

  • M. Janidarmian, K. Radecka, Z. Zilic
  • In Proceedings of the 2015 ACM 5th International…
  • 2015
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