| Publication Type |
Conference Paper |
| Authors |
Giovanni Schiboni, Fabio Wasner, Oliver Amft |
| Title |
A Privacy-Preserving Wearable Camera Setup for Dietary Event Spotting in Free-Living |
| Abstract |
We designed a wearable head-mounted egocentric camera setup for dietary data collection in free-living. We addressed the problem of privacy-sensitive image content by fixing a camera on a cap’s visor pointing downwards. Salient content was maintained while drastically constraining unwanted privacy-infringing content. The privacy preservation capability of our setup was compared with literature using a modified privacy-saliency matrix. Furthermore, we implemented a dietary event spotting algorithm to reduce the amount of workload for human operator while performing analysis on a large volume of data. Transfer learning on a deep neural network was employed to perform dietary object detection and, subsequently, dietary event spotting. Average recall performance over 90% suggested the feasibility of the method. |
| Date |
2018 |
| Proceedings Title |
Proceedings of the International Conference on Pervasive Computing and Communications (PerCom) Workshops |
| Pages |
872-877 |
| DOI |
10.1109/PERCOMW.2018.8480222 |
| Full Text |
PDF |
