Aiming at the problem of single product functions in the domestic pet supplies market,this paper designs a device that can identify the three motion states of running,jumping and flipping.Using the open-source elec-tronic platform Arduino,gyroscope and accelerometer sensors are used to collect motion state data of cats,and the deep learning framework TensorFlow is used for training.It compresses model parameters through Tiny Machine Learning(TinyML)technology to deploy the model on the development board.Finally,by using the trial and error method to find the model structure with the best training effect,the accuracy rate of identifying the action state of cats can ultimately reached more than 90%.
TinyMLAction state identificationModel buildingModel training
万方数据
维普
