Published Paper Details:

Sitting is the most common status of modern human beings. Some sitting postures may bring health issues. To prevent the harm from bad sitting postures, a local sitting posture recognition system is desired with low power consumption and low computing overhead. The system should also provide good user experience with accuracy and privacy. This project reports a novel posture recognition system on an office chair that can categorize seven different health related sitting postures.The system uses six flex sensors, an Analogy to Digital Converter (ADC) board, The system achieves 97.78% accuracy with a floating-point evaluation and 97.43% accuracy with the 8 -bit fixed- point implementation. The ADC control logic are constructed with a maximum propagation delay of 8.714 ns.The dynamic power consumption is 7.35MW when the sampling rate is 5 Sample/second with the clock frequency of 5MHz.Here we proposed a model smart sitting chair for reduce health issues and stress of humans who are all working long in sitting, this project gives the solution to avoid back pain stress of humans.