The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data

Niall Twomey; Tom Diethe; Meelis Kull; Hao Song; Massimo Camplani; Sion Hannuna; Xenofon Fafoutis; Ni Zhu; Pete Woznowski; Peter Flach; Ian Craddock

arXiv · 1603.00797

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data

Niall Twomey·Tom Diethe·Meelis Kull·Hao Song·Massimo Camplani·Sion Hannuna·Xenofon Fafoutis·Ni Zhu·Pete Woznowski·Peter Flach·Ian Craddock

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Abstract

This paper outlines the Sensor Platform for HEalthcare in Residential Environment (SPHERE) project and details the SPHERE challenge that will take place in conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD) between March and July 2016. The SPHERE challenge is an activity recognition competition where predictions are made from video, accelerometer and environmental sensors. Monetary prizes will be awarded to the top three entrants, with Euro 1,000 being awarded to the winner, Euro 600 being awarded to the first runner up, and Euro 400 being awarded to the second runner up.

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Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter Flach, Ian Craddock. 2016-03-02. The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data. https://arxiv.org/abs/1603.00797

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