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 |
|---|---|
| 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 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 9/05/16 → 13/05/16 |
Keywords
- Agent architectures
- Human-agent interaction
- Image understanding
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