Promoting Data Availability Framework by Using Gamification on Smartphone Fall Detection Based Human Activities

Abstract

Abstract Researcher usually can get Activities of Daily Living (ADL) data without extra effort because those activities normally performed in daily life. Researcher usually faced a problem if want to develop a fall detection because fall can be categorizing as abnormal activity, it is an incident and occurs rarely. Fall data collected in experimental environment, which is not be able to represent the actual pattern data. Volunteers also can made up a movement, so that the fall movement becomes unnatural. The advantages of gamification are adopted by us to create a solution of data availability in human activities data especially for fall detection. Gamification using badge adopted in the activity detection system to detect ADL and falls can help the researcher to collect the data because user will be motivated to collect the badges. Promoting data availability framework on smartphone fall detection based human activities that consist of three main components: activity detection method (ADL and fall detection method), badges, and data-activity can be a guidance to help researcher to collect actual fall data and ADL for future research (develop a better ADL and fall detection).