A Feature Set Evaluation for Activity Recognition with Body-Worn Inertial Sensors

@inproceedings{Muhammad2011AFS,
  title={A Feature Set Evaluation for Activity Recognition with Body-Worn Inertial Sensors},
  author={Syed Agha Muhammad and Niklas Klein and Kristof Van Laerhoven and Klaus David},
  booktitle={AmI Workshops},
  year={2011}
}
The automatic and unobtrusive identification of user activities is a challenging goal in human behavior analysis. The physical activity that a user exhibits can be used as contextual data, which can inform applications that reside in public spaces. In this paper, we focus on wearable inertial sensors to recognize physical activities. Feature set evaluation for 5 typical activities is performed by measuring accuracy for combinations of 6 often-used features on a set of 11 well-known classifiers… CONTINUE READING