| Title |
Human sport activities recognition and registration from portable device / |
| Authors |
Zokas, Bernardas ; Lukoševičius, Mantas |
| Full Text |
|
| Is Part of |
CEUR workshop proceedings: System 2018: Symposium for young scientists in technology, engineering and mathematics: proceedings of the symposium for young scientists in technology, engineering and mathematics, Gliwice, Poland, May 28, 2018 / edited by G. Capizzi, R. Damaševičius, A. Lopata, T. Krilavičius, Ch. Napoli, M. Woźniak.. Aachen : CEUR-WS. 2018, vol. 2147, p. 61-65.. ISSN 1613-0073 |
| Keywords [eng] |
accelerometer ; Android application ; gyroscope ; human activity recognition ; machine learning ; push-ups ; sensors ; sit-ups ; squats |
| Abstract [eng] |
The drop in costs of hardware prices have led to significant changes in the size of various processors and sensors in smartphones. These devices come with a big range of new, precise measurement taking tools and multi-location sensors (distance sensor, accelerometer, gyroscope, magnetometer, camera and lighting sensors). This has opened the door for new smart device apps that can use data mining applications relying on sensor data. One of the main uses is the recognition of human movements. In this study, we propose a recognition and tracking method in sports activities such as push-ups, sit-ups and squats using only smartphone sensors and a machine learning algorithm. The key location for the smartphone is the upper part of the user's left arm. To collect the data and produce features for classifying sports activities, the motion data from accelerometer and gyroscope sensors is used. The features are made of two sliding windows and additional data processing which renders our classifier even more versatile. Fast response time, lightweight and accurate sport recognition can be used in mobile applications like our Home Workout Fitness Tracker which can process all the data in real time and create a real time sports activities tracking system. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2018 |
| CC license |
|
