The Reaserch Of Wearable Device Gesture Intuitive Interaction

With smart watches as the typical representative of wearable decive development rapidly. It aims to study the gesture intuitive interaction of smart watch.Taking the interaction mode of smart watch as contents,according to the gesture interaction problems of smart watch, the user-defined methods are used to study the gesture interaction of smart watch.Through the experiment research and data analysis, a set of gestures is presented for smart watch gesture interaction, allowing users to interact with the smart watch intuitive and enhance the user experience.The gestures set can be applied in addition to the smart watch or migrate to other wearable device.It can also be used as a reference standard for the evaluation of smart watches gesture interaction. And gestures also cause obvious fatigue problem during operating device due to the diversity and large movements range of hand gestures. We combine surface electromyography (sEGM) and the subjective fatigue evaluation method (Brog) to reflect the fatigue condition of left arm after performing a basic interactive gesture. By comparing the AEMG value of basic gestures, we can acknowledge the energy consumption characteristics of different muscle groups and of each gesture. By analyzing the relationship between the gesture types and the objects they operate, it can be known that gestures for operating equipment and information hierarchy consume more energy than gestures for operating contents. Thus, it should be considered to use a flat information architecture to reduce the operation of the physical device and of the structure level, In the process of wearable device task planning, and design the focus of the user experience on the operation of contents of the interface information. And via the cross analysis of movement direction and fatigue of gestures, we find that there is a difference in the energy consumption between the same type gestures in different directions because of the asymmetry of body movements.Therefore, in order to reduce user fatigue during the usage of device,gesture direction should be taken into consideration when designers select interactive methods for devices. All these analyses provide references for wearable devices task-planning and gesture design. This study also establishes a user fatigue evaluation model of gesture interaction of wearable devices, which can reflect the relationship between objective energy consumption and subjective fatigue. In the practical application, we can use the fatigue evaluation model to predict the change of surface electromyography (sEMG) by obtaining the subjective fatigue evaluation of users, providing intuitive technical method for hand gesture fatigue monitoring.