Sunday, January 10, 2021
Sensors SI on Emotional AI Applications in Communications Networks
Keynote on Computational Human Sensing
The second keynote in AffectiCom'21 will be presented by Ajjen Joshi.
Title Computational Human Sensing: Applications of Face, Gesture and Affect Analysis and Synthesis
Abstract Computational analyses of human face and gesture signals encompass a myriad of challenging research problems involving computer vision, machine learning and human computer interaction. In this talk, I will present work on the following challenges: a) accurately estimating human eye-gaze signals for inferring visual attention, and developing fast, hands-free, eye-gaze-based text-entry methods; b) classifying hand and body gestures along with the temporal localization of their occurrence in a continuous stream, with a focus on personalization; c) recognizing emotional and cognitive states from faces, with applications ranging from detecting driver drowsiness and frustration to facial expressivity levels in people with Parkinson’s Disease; and d) synthesizing data in input as well as feature space in order to alleviate the challenges of data paucity and class imbalance. I will discuss contemporary research challenges in the field of affective computing and possible future directions in this exciting realm.
Bio Ajjen Joshi is a Senior Research Scientist at Affectiva, where he works on various problems in human perception and affective computing. He finished his PhD from Boston University in 2018, where he was a member of the Image and Video Computing research group. He graduated with a BA from Connecticut College in 2012, where he majored in Computer Science and Architectural Studies.
Webpage: http://bit.ly/2LD5sKR; Google Scholar: http://bit.ly/38sAEFx
Keynote on Designing Standards for Empathic Technology
Saturday, December 5, 2020
Demo on Real-Time, Privacy-Preserving Motion Detection
Friday, September 25, 2020
AffectiCom'21: Call for Papers
The Workshop on Applications of Affective Sensing in Communication Networks (AffectiCom’21, https://www.affecticom.net/) will be co-located with the IEEE International Conference on Communications (ICC, https://icc2021.ieee-icc.org/), taking place in Montreal during June 14-18, 2021.
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 without 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
Submission deadline: | |
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Camera Ready: | |
Workshop: | June 18, 2021 |
Najah Abu Ali, United Arab Emirates University