The aim of this workshop is to streamline research on affective sensing applications in communication networks. It further comes in response to a steadfastly growing trend in communication context both to facilitate cost-effective sensing, and to utilize the user’s affect to improve the network operation. These include the use of ISM-band equipment to contactlessly capture human movement, pose, breathing rate, etc., and infer affect whether in standalone or a multimodal manner, i.e., with or with video/audio feeds. Another example is the automating QoE capture to improve the networked service delivery.
Toward this aim, the workshop will span the following topics:
- Affect discretization and modeling
- Affect emulation
- Affect synthesis
- Affective sensing for crowds
- Applications of affective sensing in
- AR/VR communications
- Connected vehicles
- Crowd control and management
- Education
- eHealth
- Network management
- Smart cities
- AI/ML applications in affective sensing
- Architectures for affective sensing
- Fusion in multi-modal sensing techniques
- Generating affective sensing datasets
- Qualifying affective sensing solutions
