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

Topics: Biosignals and Biodevices Engineering; Neural Networks and Big Data Analysis in Sports; New Developments in Sports Performance Hardware; Sports Statistics and Analyses; Variability and Signal Analysis in Human Movement Studies

Authors: Jayamini Ranaweera and Pujitha Silva

Affiliation: Department of Electronic and Telecommunication Engineering, University of Moratuwa and Sri Lanka

Keyword(s): Human Activity Classification, Fast Bowling, Pattern Recognition, Wearable Technology, Cricket.

Related Ontology Subjects/Areas/Topics: Biosignals and Biodevices Engineering ; Signal Processing and Motor Behavior ; Sport Science Research and Technology

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. (More)

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Paper citation in several formats:
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 - icSPORTS; ISBN 978-989-758-383-4; ISSN 2184-3201, SciTePress, pages 21-31. DOI: 10.5220/0008065100210031

@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 - icSPORTS},
year={2019},
pages={21-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008065100210031},
isbn={978-989-758-383-4},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - 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
IS - 2184-3201
AU - Ranaweera, J.
AU - Silva, P.
PY - 2019
SP - 21
EP - 31
DO - 10.5220/0008065100210031
PB - SciTePress