Multimodal Human Computer Interaction: A Survey
By Alejandro Jaimes, Nicu Sebe. ICCV-HCI, 2005
551 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/f983444b19195846608ee4fad91ef77cc14f6f41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jian Cheng
- Hanqing Lu
- Chern Hong Lim
- Ekta Vats
- Jiaxiang Wu
- Christian Beecks
- Chee Seng Chan
- Chaoyang Zhao
In Human-Computer Interaction
- Jian Cheng
- Hanqing Lu
- Chern Hong Lim
- Ekta Vats
- Christian Beecks
- Chee Seng Chan
- Liang Wang
- Hongsong Wang
Citations in the corpus
- Distance based similarity models for content based multimedia retrieval (2013, methodology): “Further query models investigated in the field of multimodal 17 human computer interaction [Jaimes and Sebe, 2007] suggest to include for instance automatic face expression analysis [Fasel and Luettin, 2003], gesture recognition [Marcel, 2002], human motion analysis [Aggarwal and Cai, 1999], or…”
- Fusing multi-modal features for gesture recognition (2013, background): “[7] gave an overview of major approaches to multi-modal human-computer interaction from a computer vision perspective and discussed several crucial issues such as user and task modeling, multi-modal fusion and emerging applications.”
- Fuzzy human motion analysis: A review (2014, background): “Apart from that, HMA also c ontributed in video retrieval [11], sports analysis [12, 13, 14], healthcare monitoring [15, 16], human-comput er interaction [17] and so on.”
- Frontline Service Technology infusion: conceptual archetypes and future research directions (2019, background): “Finally, agent interaction mode is a third important design consideration and involves the way in which customers/FLEs may interact with conversational agents (Jaimes and Sebe, 2007).”