This paper describes the hardware and software architectures of a smart magic mirror able to acquire and track the user’s face, recognize his identity, analyze and log his facial expressions and emotional states. The magic mirror is basically a see-through mirror made smart by a led display placed behind the mirror that enables to display the User Interface (UI). The mirror is connected to a small single-board computer attached to a set of input sensors (a traditional RGB camera to enable vision-based interaction, a microphone to enable voice interaction, temperature and humidity sensors, and proximity sensors) and to an embedded machine intelligence platform that performs all the neural computations
Bianco, S., Celona, L., Napoletano, P. (2018). Visual-based sentiment logging in magic smart mirrors. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-4). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576217].
Visual-based sentiment logging in magic smart mirrors
Bianco, S;Celona, L;Napoletano, P
2018
Abstract
This paper describes the hardware and software architectures of a smart magic mirror able to acquire and track the user’s face, recognize his identity, analyze and log his facial expressions and emotional states. The magic mirror is basically a see-through mirror made smart by a led display placed behind the mirror that enables to display the User Interface (UI). The mirror is connected to a small single-board computer attached to a set of input sensors (a traditional RGB camera to enable vision-based interaction, a microphone to enable voice interaction, temperature and humidity sensors, and proximity sensors) and to an embedded machine intelligence platform that performs all the neural computations
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