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See detailContext Awareness in shared human-robot Environments: Benefits of Environment Acoustic Recognition for User Activity Classification
Rodriguez Lera, Francisco Javier UL; Martín Rico, Francisco; Matellán Olivera, Vicente

in 8th International Conference of Pattern Recognition Systems (ICPRS 2017), Madrid (Spain), 11-13 July 2017 (2017)

Context awareness is a key element in human-robot interaction. Being able to recognize user activity improves robot decision making when facing ordinary situations in home-like environments, as well as ... [more ▼]

Context awareness is a key element in human-robot interaction. Being able to recognize user activity improves robot decision making when facing ordinary situations in home-like environments, as well as robot overall performance. In robotics applications, context recognition is usually performed using time of day and three subsystems: localization, perception, and dialog. The proposal described in this paper adds to this approach a fifth item to classify user activities: an environmental recognition component. The Environment Recognition Component (ERC) described in this article uses convolutional neuronal networks to classify ordinary acoustic signals present in indoor environments. This information is used by a second element, the Context Recognition Component (CRC) that infers the user activity using propositional calculus. The empirical evaluation of the framework presents an 86% of accuracy at ERC level, and the CRC inference system provides three times more contexts than the approach without ERC. [less ▲]

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