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Investigation of tunable LED lighting for general illumination employing preliminary activity recognition sensor network

Digitally controlled solid state lighting systems can afford a range of different qualities of light, adjustable to users' requirements. Sensor networks allow lighting changes to be actuated in response to the location, activities, and paths of the occupants. This paper reports initial results of an ongoing research to explore strategic control of a tunable LED system, in response to a preliminary activity recognition platform, as well as the associated human factors. Tunable LED panels connected to a sensor network were installed to illuminate three distinct occupied spaces: a private office, a public office space and a corridor at MIT Media Lab. Human factors experiments were conducted to assess visual acceptability under changing lighting conditions. In the first phase variations in color rendering were applied to verify perception of subtle changes in white lighting. Results from this phase indicate that it is possible to correlate activities with sensitivity to spectral change. In the second phase the question is how colored light can be used for energy savings and as a communication medium in these commercial spaces.