Stochastic recognition of human physical activities via augmented feature descriptors and random forest model

HIGHLIGHTS

• who: Sheikh Badar ud din Tahir and collaborators from the Department of Software Engineering, Capital University of Science and Technology (CUST), Department of Computer Science and Technology, Tsinghua University, Beijing, China have published the research: Stochastic Recognition of Human Physical Activities via Augmented Feature Descriptors and Random Forest Model, in the Journal: Sensors
• what: In general, the primary objectives of body-worn-based inertial sensors are to bring effective real-time monitoring and correct the detections of actions, behaviors, and their impacts using sensor data. The authors propose a human physical activity recognition (HPAR) framework . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.