Ambulatory Human Posture Detection using MARG Sensor Arrays and Madgwick Filter

Abedin, Mohammad Ishrak; Ashraf, Saad Bin; Ahmed, Rizvi

dc.contributor.author	Abedin, Mohammad Ishrak
dc.contributor.author	Ashraf, Saad Bin
dc.contributor.author	Ahmed, Rizvi
dc.date.accessioned	2022-04-16T02:48:38Z
dc.date.available	2022-04-16T02:48:38Z
dc.date.issued	2021-03-30
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dc.identifier.uri	http://hdl.handle.net/123456789/1317
dc.description	Supervised by Dr. Abu Raihan Mostofa Kamal, Professor, Department of Computer Science and Technology(IUT), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.description.abstract	This report proposes a novel and low cost method of calculating and collecting real time human posture and orientation data with the help of MARG (Magnetic, Angular Rate and Gravity) sensors, micro controllers, Madgwick filter and an on board mobile computer. With the help of MARG sensor arrays, the proposed method overcomes the movement and environmental restrictions of traditional vision based posture data collection systems. Madgwick filter, being very light weight but accurate, allows the development of the whole system at a cost cheaper than other similar sensor based alternatives, using commercially available simple hardware. The low cost implementation, accuracy and mobility provided by the system can open new opportunities for the use of such systems in research, medical, input modality, sports, military, computer graphics and other fields, specially in places where cost and mass production are crucial factors.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh	en_US
dc.subject	MARG, IMU, Madgwick Filter, Human, Motion, Posture, Orientation, Ambulatory, Cost Effective	en_US
dc.title	Ambulatory Human Posture Detection using MARG Sensor Arrays and Madgwick Filter	en_US
dc.type	Thesis	en_US