SiCILIA

We present SiCILIA, a hardware platform that exploits the physical and environmental variables of an individual's thermal environment to infer the amount of clothing insulation and thermal sensation without intervention or feedback. In this demo, we present the inference algorithms that build upon theories of body heat transfer. Using a single Micro-controller (an Arduino Uno), a dual-axis motor, an IR sensor, and an Ultrasonic Range Finder (URF) we will demonstrate SiCILIA's capability of inferring an individual's clothing insulation level correctly and effectively.