DocumentCode :
1766903
Title :
SmartSpaghetti: Accurate and robust tracking of Human´s location
Author :
Uddin, Muslem ; Gupta, Arpan ; Maly, Kurt ; Nadeem, Tamer ; Godambe, Sandip ; Zaritsky, Arno
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
fYear :
2014
fDate :
1-4 June 2014
Firstpage :
129
Lastpage :
132
Abstract :
An important tool of the Lean management is the “Spaghetti Diagram”, which helps to establish the optimum layout for a department or a ward based on the movements performed by patients, staff and/or products (e.g., x-ray machines). The spaghetti diagram is usually created manually in which the movements of staff members and/or patients are visually observed. In our previous work, we reported the development of SmartSpaghetti system, which generates the Spaghetti Diagram in an automated and non-intrusive way by tracking a human´s location using the smartphone´s inertia sensors. In this paper, we address the challenges of SmartSpaghetti system in tracking human´s location by estimating the distance traveled and the direction change in an accurate and robust way. Finally, we show preliminary evaluation of the developed distance and direction estimation modules of SmartSpaghetti system.
Keywords :
biomechanics; biomedical measurement; inertial systems; intelligent sensors; medical signal processing; object tracking; smart phones; SmartSpaghetti system; Spaghetti Diagram; department; direction change; direction estimation module; distance estimation module; human location tracking; lean management; optimum layout; patient movements; product movements; smartphone inertia sensors; spaghetti diagram; staff member movements; traveled distance estimation; ward; Acceleration; Accelerometers; Estimation; Legged locomotion; Principal component analysis; Sensors; Smart phones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/BHI.2014.6864321
Filename :
6864321
Link To Document :
بازگشت