title: Always-on low-power optical system for skin-based touchless machine control.
abstract: Embedded vision systems are smart energy-efficient devices that capture and process a visual signal in order to extract high-level information about the surrounding observed world. Thanks to these capabilities, embedded vision systems attract more and more interest from research and industry. In this work, we present a novel low-power optical embedded system tailored to detect the human skin under various illuminant conditions. We employ the presented sensor as a smart switch to activate one or more appliances connected to it. The system is composed of an always-on low-power RGB color sensor, a proximity sensor, and an energy-efficient microcontroller (MCU). The architecture of the color sensor allows a hardware preprocessing of the RGB signal, which is converted into the rg space directly on chip reducing the power consumption. The rg signal is delivered to the MCU, where it is classified as skin or non-skin. Each time the signal is classified as skin, the proximity sensor is activated to check the distance of the detected object. If it appears to be in the desired proximity range, the system detects the interaction and switches on/off the connected appliances. The experimental validation of the proposed system on a prototype shows that processing both distance and color remarkably improves the performance of the two separated components. This makes the system a promising tool for energy-efficient, touchless control of machines.
authors.forename: Michela
authors.initials: M
authors.lastname: Lecca
authors.forename: Massimo
authors.initials: M
authors.lastname: Gottardi
authors.forename: Elisabetta
authors.initials: E
authors.lastname: Farella
authors.forename: Bojan
authors.initials: B
authors.lastname: Milosevic
mesh_terms: D003124:Colorimetry / Q000295:instrumentation*; D011211:Electric Power Supplies; D004867:Equipment Design; D019544:Equipment Failure Analysis; D008328:Man-Machine Systems; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012867:Skin / Q000033:anatomy & histology*; D014159:Transducers