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2016 | OriginalPaper | Buchkapitel

Echo State Network for 3D Motion Pattern Indexing: A Case Study on Tennis Forehands

verfasst von : Boris Bačić

Erschienen in: Image and Video Technology

Verlag: Springer International Publishing

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Abstract

Open skill sports such as tennis have a large number of swing execution techniques. This study presents a novel approach to event detection and motion pattern indexing of forehand swings captured from fixed location multi-camera represented as a 3D motion data set of multi-time series sampled at 50 Hz. The achieved results utilising Echo State Network (ESN) demonstrate 100 % recognition of tennis forehands from previously unseen test data without ball impact information. In contrast to traditional, heuristic and feature extraction-based algorithmic approaches in exergames and augmented coaching technologies, the proposed ESN paradigm represents a viable and generic approach for future work in temporal and spatial detection and automated analysis of region of interest in human motion data processing.

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Metadaten
Titel
Echo State Network for 3D Motion Pattern Indexing: A Case Study on Tennis Forehands
verfasst von
Boris Bačić
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-29451-3_24

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