Abstract
Media systems may face challenges in determining a viewer's engagement state, such as attentive, asleep, or absent, using methods that can introduce privacy concerns or performance limitations. A system can adaptively control a media device (e.g., a television, smart display, tablet computer) based on viewer engagement determined by a non-imaging sensor module, which can include a millimeter-wave radar transceiver. The system can capture and locally process data related to a viewer's motion, presence, and physiological indicators, such as respiration rate, using a machine-learning model to classify an engagement state. Based on this classification, the system can adjust device operations, for example, by pausing media playback or dimming the display. This approach enables context-aware media device control that may improve energy efficiency and the user experience without a reliance on visual imaging.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Lane, Alyonka, "Adaptive Media Device Control Based on Viewer Engagement State Determined by Millimeter-Wave Radar", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9468