Abstract
Static, fixed-rate broadcasting of biometric data from wearable devices can lead to inefficient power consumption, as data transmission frequency may not align with a user's activity level or a receiving equipment's needs. A system is described for adaptively controlling wireless transmission parameters based on real-time conditions. A data-source device, such as a wearable computer (e.g., a smartwatch, fitness tracker, or augmented reality device), can analyze a user's physiological state to classify activity levels, for instance, a steady state or a high-variability state. Concurrently, the device may negotiate capabilities with a data-receiving device, such as exercise equipment (e.g., a treadmill or stationary bicycle), to ascertain its data rate requirements. Based on these inputs, a dynamic transmission governor can adjust link-layer parameters, for example, a connection subrating factor. This approach may reduce power consumption on the data-source device by lowering the data broadcast frequency during stable periods, while potentially allowing for higher data fidelity when physiological conditions are changing rapidly.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chauhan, Sudeep and Shevde, Sumukh, "Adapting Biometric Data Broadcast Rate Based on Physiological State and Receiver Capabilities", Technical Disclosure Commons, (March 11, 2026)
https://www.tdcommons.org/dpubs_series/9501