Detail of Publication
| Text Language | English |
|---|---|
| Authors | Shoya Ishimaru, Kai Kunze, Katsuma Tanaka, Yuji Uema, Koichi Kise, Masahiko Inami |
| Title | Smarter Eyewear — Using Commercial EOG Glasses for Activity Recognition |
| Journal | Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014) |
| Pages | pp.239-242 |
| Location | Seattle, USA |
| Reviewed or not | Reviewed |
| Presentation type | Oral and Poster |
| Month & Year | September 2014 |
| 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. |
| DOI | 10.1145/2638728.2638795 |
- Entry for BibTeX
@InProceedings{Ishimaru2014, author = {Shoya Ishimaru and Kai Kunze and Katsuma Tanaka and Yuji Uema and Koichi Kise and Masahiko Inami}, title = {Smarter Eyewear --- Using Commercial EOG Glasses for Activity Recognition}, booktitle = {Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014)}, year = 2014, month = sep, pages = {239--242}, DOI = {10.1145/2638728.2638795}, location = {Seattle, USA} }