Abstract | ||
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This paper examines an increasingly relevant topic in the multimedia community of wearable devices that record the physical activity of a user throughout a day. While activity and other accelerometry-based data has been shown effective in various multimedia applications -- from context-aware music retrieval to approximating carbon footprint -- the most promising role of these target application for healthcare and personal fitness. Recently, several low-cost devices have become available to consumers. In this paper, we perform an evaluation on the most popular devices available on the market (in particular Fitbit and Nike+) and report our findings in terms of accuracy, type of data provided, available APIs, and user experience. This information is useful for researchers considering incorporating these activity-based data streams into their research and for getting a better idea of the reliability and accuracy for use in life-logging and other multimedia applications. |
Year | DOI | Venue |
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2013 | 10.1145/2509352.2512882 | PDM@ACM Multimedia |
Keywords | Field | DocType |
accelerometry-based data,multimedia application,available apis,user experience,various multimedia application,multimedia community,activity-based data stream,better idea,physical activity,approximating carbon footprint,wearable activity monitoring device,quantified self,social media,life logging | User experience design,Data stream mining,Nike,Social media,Computer science,Wearable computer,Carbon footprint,Wearable technology,Multimedia | Conference |
Citations | PageRank | References |
20 | 1.28 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fangfang Guo | 1 | 20 | 1.28 |
Yu Li | 2 | 483 | 24.38 |
Mohan Kankanhalli | 3 | 3825 | 299.56 |
Michael S. Brown | 4 | 2122 | 129.13 |