Sitting Posture Recognition Using a Spiking Neural Network

Abstract--To increase the quality of citizens' lives, we designed They use a recurrent network structure so that the intermediate I. That improve the quality of life of citizens in smart cities. One of is, the membrane potential of the neurons is related to the the visions towards smart cities is digital twins [1], which are a quantity, frequency and interval of the input spikes and not replica of any living or nonliving entity. In this paper, a spiking neural network is Burden of Disease (GBD) study [2], increasingly more people constructed in the form of a liquid state machine. The purpose are suffering from lower back pain among other conditions of this work was to design, implement, and validate a sensing due to inappropriate sitting behaviors. To improve quality of chair system for computer-human interactions with the spiking life, it is essential to design personalized sensing systems neural network.