A Super-Bagging Method for Volleyball Action Recognition Using Wearable Sensors

A Super-Bagging Method for Volleyball Action Recognition Using Wearable Sensors

Access to performance data during matches and training sessions is important for coaches and players. Although there are many video tagging systems available which can provide such access, these systems require manual effort. Data from Inertial Measurement Units (IMU) could be used for automatically...

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Bibliographic Details
Main Authors: Fasih Haider, Fahim A. Salim, Dees B. W. Postma, Robby van Delden, Dennis Reidsma, Bert-Jan van Beijnum, Saturnino Luz
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Multimodal Technologies and Interaction
Subjects:
sensor fusion
behavior analysis
social signal processing
machine learning
bagging
boosting
Online Access:https://www.mdpi.com/2414-4088/4/2/33

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