Abstract
Premature battery depletion is caused in a head-worn computing device by the persistent capture of visual data for spatial navigation in low-visibility environments. To mitigate energy consumption, motion data is collected by a wrist-worn peripheral using dead reckoning to estimate positional changes. Image capture functions on the head-worn computing device are held in a suspended state during standard locomotion. Individual frames are captured at a frequency of one frame per second upon calculation of a proximity threshold to a potential hazard. The single frames are transferred over a localized wireless connection to a central mobile unit for hazard identification. Short audio cues are transmitted to near-ear transducers to guide a user around hazards. Power consumption is reduced on visual sensors, and ambient light distribution constraints are bypassed.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shevde, Sumukh and Almalki, Nazih, "Power-Managed Navigation via Wearable Motion Sensing and Event-Triggered Image Capture for Auditory Hazard Alerts", Technical Disclosure Commons, (July 28, 2026)
https://www.tdcommons.org/dpubs_series/11158