Intuitive Human-Light Interaction through Embedded ML: Evaluation of Infrared Array Sensor for Advanced Gesture Control in Smart Lighting Systems

In an era where human-technology interaction is becoming increasingly intuitive, this paper presents an innovative approach to gesture control in smart lighting systems. Utilizing an 8x8 infrared sensor read by an on-chip library previously trained off-chip, this method enables precise and contactless lighting control. The paper critically examines the use of infrared arrays, with embedded machine learning models used to enhance accuracy and reliability. This technology promises seamless human-light interaction, not only improving user experience but also opening new possibilities for designing smart environments.