arXiv:2605.29913v1 Announce Type: cross Abstract: This paper investigates a multi-user indoor integrated sensing and communication (ISAC) system operating in the terahertz (THz) band, designed for adaptive communication based on gesture recognition. Leveraging gesture tracking through an extended Kalman filter (EKF), the access point (AP) dynamically adjusts resource allocation in response to detected gesture variations, thereby improving sensing accuracy. Based on the gesture recognition results, the AP further updates the communication quality requirements of different users, enabling effici
The convergence of advanced AI, THz communication, and sophisticated sensing techniques is enabling real-time adaptive systems, driven by increasing demands for efficient wireless resource management and immersive user experiences.
This development indicates a future where communication networks are not just data conduits but intelligent, context-aware systems, dynamically adapting to user needs and environments, impacting IoT, AR/VR, and automation.
Communication systems will move beyond static resource allocation to active, gesture-driven adaptation, blurring the lines between sensing and communication and enabling highly personalized and efficient wireless interactions.
- · Telecommunication Infrastructure Providers
- · Smart Home/Office Technology Developers
- · Gaming and XR Industries
- · AI/ML Algorithm Developers
- · Legacy Fixed-Allocation Wireless Systems
- · Designers of Non-Adaptive Communication Protocols
- · Companies reliant on passive user input
Enhanced efficiency and user experience in indoor wireless environments through gesture-aware resource allocation.
Ubiquitous integration of gesture recognition and predictive analytics into future wireless protocols, enabling seamless human-machine interaction.
The development of new security and privacy challenges as wireless systems gain deeper insight into user intent and activity.
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