Abstract
With the development of digital media, dynamic visual recognition has gradually replaced the traditional visual recognition. An recognition system is needed to identify visual images. This study designed a multi-sensory based booth recognition system, which was composed of visual recognition, behaviour recognition and concept recognition. The three aspects were analysed according to the actual situation of different booths. SGY coefficient, sensory load index and concept cognition were used to judge the visual and behaviour recognition performance of the system. Compared with the traditional recognition system, the designed system has a good recognition performance in these three aspects and wide application values.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call