Activity Recognition from User-Annotated Acceleration Data
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices
Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework †
A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials
A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
Robot-centric Activity Recognition from First-Person RGB-D Videos