Abstract: Exemplary embodiment of the present disclosure are directed towards behavior recognition and analysis device and methods employed thereof The device including one or more capturing units configured to capture behavior recognition movements of students accompanied in a specified area to detect emotions expresses by each individual student. The expressed motions detected based on the plurality of facial features collected from the students. One or more physical activity monitoring units configured to monitor bodily movements for determining a temporary state of mind of the each individual student accompanied in the specified area, an emotion extraction unit extracts the data conveyed by the respective emotions expressed by the students and recognize a specific student expressing an emotion by comparing the predetermined data collected from. the students and the image capturing unit by an image recognition unit to provide an emotional quotient and academic impact report of each individual student to the user.

Abstract: Exemplary embodiment of the present disclosure is directed towards a system for collecting feedback. The system includes a data collecting unit comprising an image capturing unit and acoustic transducer for collecting gesture, audio and video of the user respectively. The collected data is recognized and analyzed by the gesture recognition unit and audio/video recognition unit for providing feedback to the retailers. The system also includes a navigation unit to navigate the user based on the collected data to rate the respective retailer through a rating unit. Further the data of the users, predetermined actions to be performed for the provided gestures, audio and video and details of the one or more retailers are stored in a server.

Abstract: Exemplary embodiments of the present disclosure are directed towards a system and method for measuring segment parameters of a human body for recording a body mass index.