Yutong Zhang¹ and Jonathan Sahagun², ¹USA, ²California State Polytechnic University, USA

This project introduces a wearable, voice-controlled surgical headlight designed to improve efficiency and sterility during medical procedures. Traditional headlights require manual adjustment, which can distract surgeons and increase the risk of contamination. Our solution integrates a mobile application, Bluetooth communication, and a microcontroller-driven LED system to enable hands-free control of light settings [1]. Key challenges addressed included voice recognition reliability, cross-platform compatibility, and ergonomic hardware design [2]. Experiments showed high recognition accuracy in quiet and moderately noisy environments, with Bluetooth stability remaining strong up to ten meters. Comparisons with existing methodologies revealed that while other approaches improve cost efficiency or overall lighting design, they lack the interactivity and adaptability provided by our system. Limitations such as battery life, noise interference, and hardware comfort remain, but potential improvements could overcome these issues. Ultimately, this project demonstrates a practical advancement toward smarter surgical tools that directly enhance surgeon workflow and patient safety.

Wearable Technology, Voice Control, LED system