Abstract
As an advanced interaction mode, the gesture has been widely used for the human-computer interaction (HCI). The paper proposes a comfort evaluation model based on the mechanical energy expenditure (MEE) and the mechanical efficiency (ME) to predict the comfort of gestures. The proposed comfort evaluation model takes nineteen muscles and seven degrees of freedom into consideration based on the data of muscles and joints and is capable of simulating the MEE and the ME of both static and dynamic gestures. The comfort scores (CSs) can be therefore calculated by normalizing and assigning different decision weights to the MEE and the ME. Compared with the traditional comfort prediction methods based on measurement, on the one hand, the proposed comfort evaluation model makes it possible for providing a quantitative value for the comfort of gestures without using electromyography (EMG) or other measuring devices; on the other hand, from the ergonomic perspective, the results provide an intuitive indicator to predict which act has the higher risk of fatigue or injury for joints and muscles. Experiments are conducted to validate the effectiveness of the proposed model. According to the comparison result among the proposed comfort evaluation model, the model based on the range of motion (ROM) and the model based on the method for movement and gesture assessment (MMGA), a slight difference can be found due to the ignorance of dynamic gestures and the relative kinematic characteristics during the movements of dynamic gestures. Therefore, considering the feedback of perceived effects and gesture recognition rate in HCI, designers can achieve a better optimization for the gesture design by making use of the proposed comfort evaluation model.
Highlights
As an advanced interaction mode, the gesture has been widely used for the human-computer interaction, because it is more natural, convenient, and efficient than the traditional input modes, such as mouse, keyboard, handle, etc. rough the application of gesture-based interaction technique, the computer translates the gestures into control commands
In Figure 4(a1), the trajectories from the bottom to the top composed of different directions and heights can be obtained by changing the joint angles θ1 and θ2
In Figure 4(a2), the trajectories from the left to the right composed of different heights and distances can be obtained by changing the joint angles θ2 and θ4
Summary
As an advanced interaction mode, the gesture has been widely used for the human-computer interaction, because it is more natural, convenient, and efficient than the traditional input modes, such as mouse, keyboard, handle, etc. rough the application of gesture-based interaction technique, the computer translates the gestures into control commands. In the gesture design, the ergonomic levels of gestures directly affect operating comfort, convenience, and efficiency, and comfortable gestures result in a good matching between operators and their muscles, so that their fatigue can be reduced and working hours can be extended. E authors propose a mechanical energy expenditure-based model which considers the influences of both static and dynamic gestures to help designers evaluate the comfort of gestures during gesture interaction process. Computational Intelligence and Neuroscience perspective, the results obtained from the proposed comfort evaluation model can be regarded as an intuitive indicator to predict which act has the higher risk of fatigue or injury for joints and muscles, so as to reduce operators’ fatigue and extend their working hours
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