Research On Wearable Interaction Technology In Smart Home

With the rapid development of Internet of Things technology and wearable electronic devices,the combination of wearable devices and smart home systems has become a research hotspot today.In smart homes,wearable posture acquisition devices instead of traditional remote control devices are more in line with people’s needs.How to use wearable devices to uniformly regulate indoor home appliances has attracted more and more attention from researchers.Based on the current research status,a smart home human-computer interaction system based on wearable gesture sensors is proposed by using gesture sensors to collect different gestures to control indoor smart homes under multiple home appliances.First,a smart home and human-computer interaction experiment platform based on the hardware core of the wearable controller,main control,gateway and receiving terminal is built.The wearable controller,gateway and receiving terminal communicate through the Zig Bee wireless network with the gateway as the center.The data is sent and received between the gateway and the master through the serial port.The wearable controller uses the MPU6050 gesture sensor chip as the input terminal to collect user gesture movement information.And use the Z-Stack protocol stack to send data to the gateway and the main control.The main control is responsible for analyzing and processing the motion information of gestures,extracting feature quantities and recognizing gestures,and selecting and operating numerous home appliances according to the recognition results of gestures.Secondly,by carrying out human-computer interaction experiments to carry out related research,research on how to use gestures to locate the selected target receiving terminal from multiple receiving terminals in a smart home environment with multiple home appliances.According to the different feature values of the extracted gesture data,different smart home selection schemes are proposed,different gestures and home control are associated,the functions of the smart home human-computer interaction system are verified,and the system is optimized.Finally,according to the experimental results,the final solution is given,and the control mode based on extracting angular velocity eigenvalue is selected as the final mode of user input gesture selection device.At the same time,the follow-up functions are verified,and a human-computer interaction system is realized to control the whole indoor household appliances through wearable controller.