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Advanced Context-Aware Computing for Human Machine Interaction in Consumer Electronics
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AI
DOI：10.1109/MCE.2024.3456965.png)
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Abstract
En 中文
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.
Keywords:
Hidden Markov models
Real-time systems
Adaptation models
Data models
Consumer electronics
Accuracy
Sensor fusion
Journal
IF:
4.1
Papers:
1.3K
Citations:
1.8K