Behaviometrics for Identifying Smart Home Residents
نویسندگان
چکیده
Smart homes and ambient intelligence show great promise in the fields of medical monitoring, energy efficiency and ubiquitous computing applications. Their ability to adapt and react to the people relying on them positions these systems to be invaluable tools for our aging populations. The most privacy protecting and easy to use smart home technologies often lack any kind of unique tracking technologies for individuals. Without a built-in mechanism to identify which resident is currently triggering events, new tools need to be developed to help determine the identity of the resident(s) in situ. This work proposes and discusses the use of behaviometrics as a strategy for identifying people through behavior. By using behaviometrics-based approaches, the smart home may identify residents without requiring them to carry a tracking device, nor use privacy insensitive recording systems such as cameras and microphones. With the ability to identify the residents through behavior, the smart home may better react to the multitude of inhabitants in the space.
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