Analysis of Sensor Locations on Human Body for Wearable Sensor based Activity Classification during Fast Bowling in Cricket

Jayamini Ranaweera, Pujitha Silva

2019

Abstract

This paper focuses on determining best body sensor position among calf, thigh, upper trunk and forearm when classifying Run Up, Delivery Stride and Follow Through phases during fast bowling in cricket by the usage of a machine learning model. Nine-axis Inertial Measurement Units (IMU) were used to collect data at 350Hz and Madgwick’s quaternion based algorithm was used for orientation estimation. The study also focused on determining best quaternion to be considered for such activity classification requirements in fast bowling. Three fast bowlers with Mixed type bowling action were considered for the study. A sliding window with 200 samples/window with 50% overlap collected eight, time domain statistical features from the sensor data and Principal Component Analysis was used to reduce dimensionality of the feature set. A linear kernel based Support Vector Machine classified the features into the three main phases and five-fold cross validation was used to determine model performance. The results indicate that fourth quaternion on calf or forearm is the best quaternion and body position to be considered for activity classification of fast bowling action in cricket.

Paper Citation

in Harvard Style

Ranaweera J. and Silva P. (2019). Analysis of Sensor Locations on Human Body for Wearable Sensor based Activity Classification during Fast Bowling in Cricket.In Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-383-4, pages 21-31. DOI: 10.5220/0008065100210031

in Bibtex Style

@conference{icsports19,
author={Jayamini Ranaweera and Pujitha Silva},
title={Analysis of Sensor Locations on Human Body for Wearable Sensor based Activity Classification during Fast Bowling in Cricket},
booktitle={Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2019},
pages={21-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008065100210031},
isbn={978-989-758-383-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Analysis of Sensor Locations on Human Body for Wearable Sensor based Activity Classification during Fast Bowling in Cricket
SN - 978-989-758-383-4
AU - Ranaweera J.
AU - Silva P.
PY - 2019
SP - 21
EP - 31
DO - 10.5220/0008065100210031