Advanced Context-Aware Computing for Human Machine Interaction in Consumer Electronics
The evolution of context-aware computing (CAC) from its traditional roots to advanced implementations marks a significant milestone in human–machine interactions. With the rise of smart devices and Internet of Things technologies, there is a greater need for advanced systems that can adapt to diverse contexts in consumer electronics. Therefore, an advanced CAC approach is proposed to redefine human–machine interaction for more intuitive, personalized, and adaptable contexts. This approach utilizes cutting-edge technologies, such as machine learning and sensor fusion, for real-time and accurate context recognition as well as enables more seamless and responsive interactions for enhancing user experiences by delivering contextually relevant content and services.
Authors
- Uttam Ghosh (ORCID: https://orcid.org/0000-0003-1698-8888)
- Debashis Das (ORCID: https://orcid.org/0000-0003-4422-3196)
- Mohammed S. Al-Numay
- Pushpita Chatterjee (ORCID: https://orcid.org/0000-0002-0775-5540)
Institutions
- Meharry Medical College (US)
- King Saud University (SA)
Publication Details
- Journal
- IEEE Consumer Electronics Magazine
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1109/mce.2024.3456965
- Citations
- 1
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- National Science Foundation