BodyAd: A Body-Aware Advertising Signage System with Activity-Specific Interaction Based on loT Technologies

In this paper, we design and implement a body-aware advertising signage system, called BodyAd, with activity-specific interaction based on Internet of Things (loT) technolo-gies. In the Body Ad system, an loT signage is adopted to transmit multimedia contents to smartphone users on demand in a click-and-drag manner. In addition, approaching audiences can be sensed and interacted with the loT sign age using image sensors. Furthermore, deep learning techniques are explored to recognize the activities of audiences and synchronize to the on -screen doll on the loT signage. In particular, commodity dances/advertising movements can be learned and played by audiences in front of the loT signage for getting attentionlbonuses. Moreover, based on the skeleton of body components (e.g., hands, arms, legs, etc.) constructed by Body Ad, the audience's body activities can be recognized and applied to correct his/her posture in learning the commodity dance/dvertising movement. This paper demonstrates our current prototype consisting of the smartphone App, BodyAd server, and loT signage.