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- W2088270376 abstract "Smart eyewear computing is a relatively new subcategory in ubiquitous computing research, which has enormous potential. In this paper we present a first evaluation of soon commercially available Electrooculography (EOG) glasses (J!NS MEME) for the use in activity recognition. We discuss the potential of EOG glasses and other smart eye-wear. Afterwards, we show a first signal level assessment of MEME, and present a classification task using the glasses. We are able to distinguish of 4 activities for 2 users (typing, reading, eating and talking) using the sensor data (EOG and acceleration) from the glasses with an accuracy of 70 % for 6 sec. windows and up to 100 % for a 1 minute majority decision. The classification is done user-independent. The results encourage us to further explore the EOG glasses as platform for more complex, real-life activity recognition systems." @default.
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- W2088270376 date "2014-09-13" @default.
- W2088270376 modified "2023-10-13" @default.
- W2088270376 title "Smarter eyewear" @default.
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- W2088270376 doi "https://doi.org/10.1145/2638728.2638795" @default.
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