HIGHLIGHTS
- who: Stephen Ward and colleagues from the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough , TU, UK have published the research: Effect of Equipment on the Accuracy of Accelerometer-Based Human Activity Recognition in Extreme Environments, in the Journal: Sensors
- what: A large body of the work within the sensor-based HAR field focuses on feature extraction and the development and implementation of classification models to improve recognition accuracy. The aim of this study was to answer: (I) What is the most accurate classifier for mountaineering specific activities? Extensive literature exists on . . .
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