Monitoring of patient fluid intake using the Xbox Kinect

Proceedings of CGAMES 2013 USA - 18th International Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational and Serious Games

Volumn , Issue , 2013, Pages 60-64

  Burgess, Robert Adam ^a   Hartley, Thomas ^a   Mehdi, Qasim ^a   Mehdi, Rana ^b  

^a UNIVERSITY OF WOLVERHAMPTON   (United Kingdom)

^b PENINSULA MEDICAL SCHOOL   (United Kingdom)

Author keywords

fluid intake; Naive Bayes Classifier; Patient monitoring; Xbox Kinect

Indexed keywords

3D SENSOR; LOW COSTS; MICROSOFT KINECT; NAIVE BAYES CLASSIFIERS; PATIENT MOVEMENT; REAL TIME; SOFTWARE DEVELOPMENT KIT; XBOX KINECT;

CLASSIFIERS; COMPUTER GAMES; INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS; MULTIMEDIA SYSTEMS; PATIENT MONITORING;

ANIMATION;

EID: 84890373555     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGames.2013.6632606     Document Type: Conference Paper

References (11)

1. Bloomfield J, Pegram A (20 12) Improving nutrition and hydration in hospital: the nurseG responsibility. Nursing Standard. 26, 34, 52-56. Date of acceptance: January 23 20 12.
2. Royal ColIege of Nursing (2007) Hydration best practice toolkit for hospitals and healthcare. [Online] http://www.rcn.org.uk/ data/assets/pdf file/0003/70 374/Hydration Toolkit-Entire and In Order. pdf.
3. Wham, R. M., 20 12. Three-Dimensional Kinematic Analysis Using the Xbox Kinect, KnoxvilIe: University of Tennessee.
4. Garcia, J. A. et aI., 20 12. Excergames for the elderly: Towards an embedded Kinect-based clinical test of falIs risk, Amsterdam: lOS Press BV.
5. Gabel, M., Gilad-Bachrach, R., Renshaw, E. &Schuster, A., 20 12. FulI Body Gait Analysis with Kinect, Redmond: Microsoft.
6. Stone, E. E. &Skubic, M., 20 12. Capturing Habitual, InHome Gait Parameter Trends Using an Inexpensive Depth Camera, San Diego: IEEE.
7. Parajuli, M., Tran, D., Ma, W. &Sharma, D., n.d. Senior Health Monitoring Using Kinect, Canberra: University of Canberra.
8. Moore, D., 2003. A real-world system for human motion, Pasadena: California Institute of Technology.
9. Song, Y. (2003) A perceptual approach to human motion detection and labeling. PhD thesis, California Institute of Technology, 2003.
10. Zhang, H., WenXiao, D. &Li, H., 20 12. Kinect Gesture Recognition for Interactive System, Stanford: Stanford University.
11. McCaffrey, J., 2013. Naive Bayes Classification with C#. [Online] Available at: http://msdn.microsoft.comlenus/ magazine/jj89 1056.aspx [Accessed 06 03 20 13].