Title :
A smartphone-based golf simulation exercise game for supporting arthritis patients
Author :
Yoonyong Shin ; Wunsche, Burkhard C.
Author_Institution :
Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
Abstract :
Arthritis is a common chronic diseases among elderly. Regular exercises help with managing the disease, but physiotherapy is costly and without monitoring there are no reliable workout records and many patients lack motivation. In this paper we evaluate exercise games and motivate the need for applications which are mobile, fun, provide monitoring, and incorporate social media features. Based on this we develop a smartphone-based golf game, which uses GPS and accelerometer sensors for collecting monitoring data and motivating patients to get active. The physical simulation uses an experimentally derived formula to convert wrist accelerometer data into driving distance. User testing demonstrates that the exercise game is entertaining and has a sufficient realism, but more game psychology concepts need to be incorporated to improve playability.
Keywords :
Global Positioning System; accelerometers; biomedical communication; computer games; diseases; geriatrics; medical computing; patient monitoring; patient treatment; sensors; smart phones; sport; GPS sensors; accelerometer sensors; arthritis patients; chronic diseases; driving distance; elderly; game psychology; patient monitoring; patients motivation; physical simulation; physiotherapy; regular exercises; smartphone-based golf simulation exercise game; social media features; user testing; wrist accelerometer data; Accelerometers; Arthritis; Diseases; Games; Global Positioning System; Sensors; Smart phones;
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
Print_ISBN :
978-1-4799-0882-0
DOI :
10.1109/IVCNZ.2013.6727058