School of Media and Design, Hangzhou Dianzi University, Hangzhou 310018, China.
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel). 2022 Aug 23;22(17):6327. doi: 10.3390/s22176327.
In this paper, the interactive application of data gloves based on emotion recognition and judgment system is investigated. A system of emotion recognition and judgment is established based on the set of optimal features of physiological signals, and then a data glove with multi-channel data transmission based on the recognition of hand posture and emotion is constructed. Finally, the system of virtual hand control and a manipulator driven by emotion is built. Five subjects were selected for the test of the above systems. The test results show that the virtual hand and manipulator can be simultaneously controlled by the data glove. In the case that the subjects do not make any hand gesture change, the system can directly control the gesture of the virtual hand by reading the physiological signal of the subject, at which point the gesture control and emotion control can be carried out at the same time. In the test of the manipulator driven by emotion, only the results driven by two emotional trends achieve the desired purpose.
本文研究了基于情感识别和判断系统的数据手套的交互应用。基于生理信号的最优特征集，建立了情感识别和判断系统，然后构建了一种具有多通道数据传输功能的基于手姿态和情感识别的数据手套。最后，建立了虚拟手控制和受情感驱动的机械手系统。选择了 5 名受试者对上述系统进行测试。测试结果表明，数据手套可以同时控制虚拟手和机械手。在受试者不进行任何手势变化的情况下，系统可以通过读取受试者的生理信号直接控制虚拟手的手势，此时可以同时进行手势控制和情感控制。在受情感驱动的机械手测试中，只有两种情感趋势驱动的结果达到了预期的目的。
