The TALA empathic space: Integrating affect and activity recognition into a smart space

College

College of Computer Studies

Department/Unit

Computer Technology

Document Type

Conference Proceeding

Source Title

2010 3rd International Conference on Human-Centric Computing, HumanCom 2010

Publication Date

10-28-2010

Abstract

Advancement in ambient intelligence is driving the trend towards innovative interaction with computing systems. In this paper, we present our efforts towards the development of the ambient intelligent space TALA, which has the concept of empathy in cognitive science as its architecture's backbone to guide its human-system interactions. We envision TALA to be capable of automatically identifying its occupant, modeling his/her affective states and activities, and providing empathic responses via changes in ambient settings. We present here the empirical results and analyses we obtained for the first two of this three-fold capability. We constructed face and voice datasets for identity and affect recognition and an activity dataset. Using a multimodal approach, specifically, applying a decision level fusion of independent face and voice models, we obtained accuracies of 88% and 79% for identity and affect recognition, respectively. For activity recognition, classification is 80% accurate even without employing any fusion technique. © 2010 IEEE.

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Digitial Object Identifier (DOI)

10.1109/HUMANCOM.2010.5563342

Disciplines

Computer Sciences

Keywords

Emotion recognition; Human activity recognition; Ambient intelligence; Ubiquitous computing

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