Title :
Detecting and Minimizing Bad Posture Using Postuino among Engineering Students
Author :
Alattas, Reem ; Elleithy, Khaled
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
Abstract :
To understand how good posture minimizes computer related injury´s pain, we developed Postuino. A device that warns the computer users if they are leaning too close towards computer screen. Postuino has an accompanying web application that visualizes the collected data and displays a chart to simplify comparing between straight time and slouch time. Also, the app suggests taking frequent breaks to minimize the risk of injuries and to increase productivity. Then, we designed an experiment with different factors to evaluate the efficiency of Postuino. In our study, 24 subjects first use the computer for 3 hours after disabling Postuino´s alert system. Afterwards, they use the computer again for two more 3 hour phases after enabling the alert system. We collected data, analyzed it, and presented the results in this paper.
Keywords :
Internet; data visualisation; human computer interaction; injuries; Postuino alert system; Postuino device; Web application; bad posture detection; bad posture minimization; computer related injury pain; computer screen; computer users; data visualization; engineering students; good posture; productivity; slouch time; straight time; Acoustics; Computers; Data visualization; Monitoring; Pain; Sensors; Arduino; embedded systems; experimentation; microcontrollers; posture; ultrasonic sensors;
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-7599-0
DOI :
10.1109/AIMS.2014.55