Posture Detection and Alerting System Using Rtsc Algorithm
A.Kumaresan1, M.SureshAnand2, K.Deepak Keshav3, G.Karthikeyan4, B.Vigneshwaran5
1A.Kumaresan*, Department of Information Technology, Hindustan Institute of Technology & Science, Chennai, India.
2M.SureshAnand, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai, India.
3K.Deepak Keshav, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai, India.
4G.Karthikeyan, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai, India.
5B.Vigneshwaran, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai, India.
Manuscript received on September 12, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 3142-3145 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9662109119/2019©BEIESP | DOI: 10.35940/ijeat.A9662.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In order to detect and correct the posture we developed a wearable garment integrated device to sense the posture of the user and analyze the posture within the device to alert the user remotely. Further the posture data are sends to the server to analyze the data in detail. Device contains the accelero-meter sensor to detect the angle of the user. From the angle the posture is calculated using the microcontroller in the device. The posture is analyzed and if bad posture is detected then the buzzer sensor present in the device alert the user to correct the posture. The bad posture data are sends to server through the wifi module present in the device. The data are stored in the database along with time, date and device id. The month wise statistical graph is developed from the data in the database. Daily analyzes of the posture data is done to provide the average posture of the user and worst posture of the user. The report of the analyzed data can be generated in the website through user authentication.
Keywords: Posture, Accelero-meter, Buzzer, Wifi module, Posture correction, Report, and wearable device.