Vibrosight: Long-Range Vibrometry for Smart Environment Sensing  

Yang Zhang, Gierad Laput and Chris Harrison (UIST 2018)

Smart and responsive environments rely on the ability to detect physical events, such as appliance use and human activities. Currently, to sense these types of events, one must either upgrade to “smart” appliances, or attach aftermarket sensors to existing objects. These approaches can be expensive, intrusive and inflexible. In this work, we present Vibrosight, a new approach to sense activities across entire rooms using long-range laser vibrometry. Unlike a microphone, our approach can sense physical vibrations at one specific point, making it robust to interference from other activities and noisy environments. This property enables detection of simultaneous activities, which has proven challenging in prior work. Through a series of evaluations, we show that Vibrosight can offer high accuracies at long range, allowing our sensor to be placed in an inconspicuous location. We also explore a range of additional uses, including data transmission, sensing user input and modes of appliance operation, and detecting human movement and activities on work surfaces.




Yang Zhang, Gierad Laput and Chris Harrison. 2018. Vibrosight: Long-Range Vibrometry for Smart Environment Sensing. In Proceedings of the 31th Annual ACM Symposium on User interface Software and Technology (Berlin, Germany, October 15-18, 2018). UIST ’18. ACM, New York, NY.