Abstract: Finger movements closely related to cognitive training have been found effective on preventing dementia. Dementia in aged people has been rapidly growing nowadays, which has to come with increase of medical cost to treat it. In this paper, we propose dementia-prevention techniques that can be useful in a serious game using a leap motion controller. To this end, we associate finger motions with particle movements as well as object deformation when interacting with a leap controller. This approach can be utilized in a serious game whereas currently most serious games seem to provide just touch interface for the treatment of dementia. Finally, we have shown experimental results as well.

• Publication Date: 21-Dec-2014
• DOI: 10.15224/978-1-63248-005-7-48
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Abstract: A key area in MAUC is location tracking of nodes. Achievements in this area are commendable [1-16]. Researchers have also undertaken applying location-awareness to devise new functionalities and applications and also to improve ways of doing existing activities. Software engineering approaches into forming metrics and models in the field of MAUC are also gaining in value. Location-awareness remains a matter of resource consumption and support equipment available. It ends up having trade-offs between cost, amount of bandwidth consumed, performance, span of smallest unit of location and other factors. One overall effect is that location-tracking is done at varying refresh-intervals. This paper is a follow-up of a previous paper titled “Model of Energy Savings achievable with Location-aware Node-to-Node transmission in UbiComp”[18], in which one future work identified was to study effects of different location refresh intervals on percentage of energy savings achievable and models that ca

• Publication Date: 21-Dec-2014
• DOI: 10.15224/978-1-63248-005-7-39
• Views: 0
• Downloads: 0