Indoor User Localization And Pathological Gait Recognition Based On The Mechanism Of Scorpion Determining Vibration Source Distance

With the continuous development of sensing technology and artificial intelligence technology in recent years,smart home system optimizes people’s lifestyle and living environment,and greatly improves people’s quality of life and work efficiency.For them,accurate user positioning and identification is the key to ensure the system performance.Among many smart home solutions,indoor user location and identification technology based on vibration signal has the advantages of convenient implementation,no frequent maintenance and low invasion of privacy.In recent years,it has attracted the attention of many scholars at home and abroad.However,the existing vibration positioning technology is affected by factors such as frequency dispersion and multipath interference,and the positioning accuracy is limited.At the same time,the existing vibration recognition technology is also difficult to meet the growing requirements of users for smart home.Therefore,based on the excellent vibration source positioning ability of scorpion,a bionic vibration source distance and direction estimation method is proposed in this paper.On this basis,combined with dynamic Bayesian network,a set of indoor user positioning and pathological gait recognition system is designed.The main research contents are as follows:Firstly,this paper studies the biological mechanism of scorpion to determine the vibration source distance.The surface morphology and position distribution of sensory hair and seam receptors of tarsal bone on walking foot of Peter scorpion were determined by scanning electron microscope.The experimental platform of scorpion sensory organ vibration electrical response was built to test the processing mechanism of slit receptor and tarsal sensory hair on scorpion vibration information under the excitation of vibration sources at different distances.It was found that slit receptor was sensitive to Rayleigh wave and sensory hair was sensitive to longitudinal wave.The biological mechanism of scorpion marking the vibration source distance through the information difference between longitudinal wave and Rayleigh wave is revealed.Secondly,based on the scorpion vibration source distance determination mechanism,according to the characteristics of vibration propagation,combined with the random forest regression algorithm to train the distance estimation model,a scorpion like vibration source distance determination method is designed.According to the morphological characteristics of scorpion,a set of bionic vibration information acquisition device is built.In the practical application scenario,the device and method described in this paper are tested.The results show that the average estimation error of scorpion vibration source ranging method is 0.30 M,which is better than the method based on TDOA.At the same time,it is proved that the scorpion like vibration source location estimation method can effectively locate indoor users and track the activity trajectory of indoor users.Finally,based on the bionic vibration information acquisition device and the scorpion like vibration source distance determination method,a set of indoor user pathological gait recognition system is built.The system analyzes the characteristics of pathological gait,and reflects the motion characteristics of pathological gait from multiple angles through dynamic Bayesian network.The maximum expectation algorithm is used to train a dynamic Bayesian network for the pathological gait to be recognized.Finally,the classification results of pathological gait are output by calculating the maximum observation probability under the given model parameters.Experiments show that the pathological gait recognition system can effectively recognize normal gait,hemiplegic gait and festinating gait,and its average recognition rate is 91.4%.