Course Project: Digital Signal Processing, 2015
Dataset: Activities of Daily Living (ADL) recorded using Wrist-worn Accelerometer
Refer to this source to obtain the dataset: UCI Repository (https://archive.ics.uci.edu/ml/datasets/Dataset+for+ADL+Recognition+with+Wrist-worn+Accelerometer)
Employed Machine Learning and feature extraction techniques in MATLAB to classify whether a person is running, standing, drinking, climbing, getting up etc.
Achieved 78.5% classification accuracy - Details in Project Report