Abstract:
This study is based on the development of fall detection system which can identify and inform both unconscious and conscious falls of a person from heights above ground l...Show MoreMetadata
Abstract:
This study is based on the development of fall detection system which can identify and inform both unconscious and conscious falls of a person from heights above ground level (for e.g. labour working at high-rise buildings, misbalancing while walking, elders/kids fall from bed during sleep). The background research shows that the major cause of injuries and death during construction of high rise building are due to fall when proper medical attention is not given on time. This work is aimed to design and construct a real-time system which can detect human fall and notify the concerned person on time to minimize the death-rate due to any mishap during building construction or industrial environment and embed the whole system into a wearable, rigid and low-cost gadget using a MEMS motion sensor (MPU-6050) along with GSM/RF protocol to transmit the data. This gadget will be installed at a location so that the system can detect any changes in the subject's center of gravity and process and analyze the data to detect the type of fall by comparing from already stored database i.e. tested previously.
Published in: 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
Date of Conference: 04-07 July 2018
Date Added to IEEE Xplore: 16 August 2018
ISBN Information: