Laser-Induced Graphene Based Flexible Sensor For Human-Machine Interaction Application

The rapid development of artificial intelligence and information technology makes human-computer interaction become a hot topic.Gesture recognition,as an significant branch of human-computer interaction category,can not only realize the spaceseparation operation of machines,but also has a broad prospect in the application field of deaf and mute sign language recognition.As the core of gesture recognition,sensor has been widely concerned.Because of its excellent flexibility which makes it can be can be used in various environments and other advantages,flexible sensors has occupied a place in human-computer interaction,gesture recognition and other applications.As the flexible pressure sensor has made major research breakthroughs in sensing methods and sensing materials,A large number of superior performance sensors have been designed and fabricated to measure various motion signals and vital signs of human body.Nevertheless,because of the special material as well as complex application scenarios of the flexible sensors,more and higher demands will be raised in terms of cost,manufacturing process,stability,wearing comfort and biological compatibility.Based on the above problems,the main contents of this dissertation are as following:1.A flexible sensor was designed and fabricated based on laser-induced graphene and flexible material PDMS,which can be applied to the monitoring of human biological signals.The sensor has good electrical performance,excellent ductility—strain degree up to 100%,in the range of strain,resistance changes up to 150 times,voltage changes up to 2V,good sensitivity,and stable performance.The sensor can monitor the movement of joints such as the wrist,elbow and mouth.2.A wearable flexible sensor glove is designed and fabricated based on the flexible sensor.The glove integrates signal acquisition circuit,low-pass filtering circuit,stm32f103 development board and wireless Bluetooth signal module,which can capture the movement of gestures in real time and realize remote wireless transmission.3.Based on the flexible glove and circuit board,wearable sensing gloves were applied to the field of gesture recognition.One is to realize the control of manipulator,explore the remote control of machinery to achieve safe operation in dangerous areas.The upper computer hand language recognition software was developed based on SVM algorithm,which could receive signals from flexible sensing gloves and realize classification and recognition by SVM.Finally,the meaning of sign language was played out in the form of speech and pictures.