Semester of Graduation
Electrical and Computer Engineering
First Major Professor
Joseph A. Zambreno
Master of Science (MS)
Human activity recognition is a problem of classifying activity of a human using accelerometer and gyroscope data recorded by smartphones into well-deﬁned movements. However, it is still a challenging problem to compute a large number of observations in each second and it is also hard to translate the measurements from smartphones into physical activity patterns. In the past few decades, researchers have designed diﬀerent human activities recognition systems using diﬀerent algorithms. In this paper, I investigate diﬀerent approaches to HAR system based on smartphones. I provide a comparison of these approaches and provide recommendations of the best performing solution.
Xu, Chenhang, "Human Avtivity Recognition Using Smartphones" (2020). Creative Components. 567.