Special Section on "Human Machine Interface for Next generation Consumer Electronics"
Theme:
Consumer electronics have become an integral part of our daily lives, enhancing various aspects of human activities, entertainment, and communication. The rapid advancements in technology have led to the development of increasingly, sophisticated consumer electronic devices, such as smartphones, smart homes, wearable devices, virtual reality systems, and Internet of Things (loT) devices. These devices have revolutionized the way we interact with technology and have opened new possibilities for improving use experiences. One of the critical components that determine the usability and user satisfaction of consumer electronics is the Human Machine Interface (HMl). The HMl acts as a bridge between users and the underlying technology, enabling seamless interaction and control. Traditionally, HMls have relied on physical buttons, switches, and touchscreens, but recent developments in sensing technologies, artificial intelligence, and augmented reality have paved the way for more advanced and intuitive HMIs.
This Special Session on "Human Machine Interface for Next generation Consumer Electronics", aims to explore the latest advancements, challenges, and opportunities in designing and implementing HMls that can enhance the usability, accessibility, and user experience of consumer electronics. We invite researchers, practitioners, and experts in the field to contribute their original research, innovative concepts, and practical solutions to shape the future of HMls in consumer electronics.
Topics of interest in this Special Section include (but are not limited to):
- Theoretical modeling, analysis and development for HMl or M2M interaction
- Multimodal perception
- Context-Aware Interfaces
- Human-Robot Interaction
- Smart sensing/sensor design for HMl in consumer electronics
- Edge/cloud computing technologies for HMl
- HMl for consumer electronics applications (healthcare, agriculture, etc.)
- Emotion and Affective Computing for HMl
- VR, AR, and XR collaboration environments
- Human behavior modeling (e.g., motion tracking, gesture understanding, etc.)
- Ethical Considerations and User Privacy for HMl
- Audio processing or techniques benefits the voice user interface
- Brain-computer interfaces (BCl) or other biomedical techniques
- Techniques designed for the GUl for future consumer electronics
Important dates:
- End of submission of Manuscripts: November 30, 2024
- Expected publication date (tentative): 3rd quarter, 2025
Guest Editors:
- Dr. Hongxu Zhu (Lead Guest Editor), Hong Kong Applied Science and Technology Research institute, Hong Kong, email: hongxuzhu2-c@my.cityu.edu.hk
- Dr. Haoran Chi, Instituto de Telecomunicações, Portugal, email: haoran.chi@ieee.org
- Dr. Xinyuan Qian, University of Science and Technology Beijing, China, email: qianxy@ustb.edu.cn
- Prof. Rui Liu, Inner Mongolia University, China, email: liurui imu@163.com
- Prof. Qi Liu, South China University of Technology, China, email: drliuqi@scut.edu.cn