Abstract
In this paper, we present an intelligent conversational agent enriched with automatic image understanding and facial expression recognition using state-of-the-art machine learning techniques for the advancement of autonomous interaction with the elderly or infirm. The agent is developed to conduct health and emotion well-being monitoring for the elderly. It is not only capable of conducting question-answering via speech-based interaction, but also able to provide analysis of the user's surroundings, emotional states, hazards and fall actions via visual data. The agent is accessible from a web browser and can be communicated with via voice or text means, with a webcam required for the visual analysis functionality. The system has been evaluated with diverse real-life images to prove its efficiency.
Original language | English |
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Title of host publication | AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 1488-1489 |
Number of pages | 2 |
ISBN (Electronic) | 9781450342391 |
Publication status | Published - 30 May 2016 |
Event | 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore Duration: 9 May 2016 → 13 May 2016 |
Conference
Conference | 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 |
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Country/Territory | Singapore |
City | Singapore |
Period | 9/05/16 → 13/05/16 |
Keywords
- Agent architectures
- Human-agent interaction
- Image understanding