Multivariate Time Series Classification for Human Activity Recognition with LSTM
Human Activity Recognition UCI Dataset, final score 0.97196
A Machine Learning approach to predict the activities of person.
Реализация методов обнаружения точек изменений и кластеризация для поиска подтипов активностей
Repository meant to reproduce the research results of the paper "Good Things Come in Threes: The Impact of Robot Responsiveness on Workload and Trust in Multi-User Human-Robot Collaboration". Please find the AAM at the following link:
ActivitySense – Analyzing human activity patterns using smartphone sensor data with DBSCAN clustering, LDA for dimensionality reduction, and structural graph analysis.
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