Noise Cancellation in Flex sensors: An implementation of Flex sensor with Adaptive noise canceller

Abstract

This unique idea of automated stroller strikes our minds after increased number of the paralysis cases, there are so many equipment available which are helpful for paralyzed patient but extra human effort is required. In this proposed solution no extra, human effort will be required to operate this stroller. This stroller was designed after the extensive research on disabled patients. For this purpose, we discussed the issues with neurologist experts, they advised us to maintain the speed of standing and sitting or movements, which were set under the guidance of experts. Several researches have been carried out to facilitate the complete paralyzed persons. Previously low-cost wheel chair has been designed by using the motion of the retina. Gear less motor for the wheel chair has been proposed by researchers in past. Extensive literature review shows that some authors presented a head gesture movement identification strategy to control the wheel chair. Accelerometers and wireless sensors have also been utilized by researchers to achieve the task. Voice controlled and remotecontrol methods have also been utilized. In this research paper authors have proposed a cost-effective novel solution with less false alarm rate. Flex sensor has been used to recognize the head gesture of complete paralyzed people. Wheel chair also possess the capability of being completely folded and in standing position therefore it can be used as a physiotherapy for the disabled persons. To reduce the false alarm and eliminate the noise, adaptive noise canceller has been applied. Results proved that our proposed approach performed better than the other existing techniques with less noise false alarms.