Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine

  title={Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine},
  author={Davide Anguita and Alessandro Ghio and Luca Oneto and Xavier Parra and Jorge Luis Reyes-Ortiz},
Activity-Based Computing [1] aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached to the subject’s body, they permit continuous monitoring of numerous physiological signals. This has appealing use in healthcare applications, e.g. the exploitation of Ambient Intelligence (AmI) in daily activity monitoring for elderly people. In this paper, we present a system… CONTINUE READING
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