Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing

Autor:	Dave Parry, Stefan Schliebs, Nikola Kasabov, Doug Hunt
Rok vydání:	2013
Předmět:	business.industry Liquid state machine Computer science Reservoir computing Wearable computer Machine learning computer.software_genre Automotive engineering Activity recognition Proof of concept Problem domain Artificial intelligence business Classifier (UML) computer Wearable technology
Zdroj:	Engineering Applications of Neural Networks ISBN: 9783642410123 EANN (1)
DOI:	10.1007/978-3-642-41013-0_24
Popis:	This paper employs a Liquid State Machine (LSM) to classify inertial sensor data collected from horse riders into activities of interest. Since LSM was shown to be an effective classifier for spatio-temporal data and efficient hardware implementations on custom chips exist, we argue that LSM would be relative easy to integrate into wearable technologies. We explore here the general method of applying LSM technology to domain constrained activity recognition using a real-world data set. The aim of this study is to provide a proof of concept illustrating the applicability of LSM for the chosen problem domain.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87e4232f8199eebc183a8f84515ecc2b https://doi.org/10.1007/978-3-642-41013-0_24 Zobrazit plný text záznamu