Abstract
A common digital diary system is a software technology that proactively suggests contents of interest to users based on various kinds of context information. It provides benefits to users and meets their satisfaction. This research was motivated by our interest in understanding the criteria for measuring the success of a diary making system from users’ point of view. Even though existing work has introduced a wide range of criteria such as users’ biological information, picture, movie, etc. In this paper, we propose a digital diary making system which aimed at measuring the user emotion from their life-log data (daily-life photos). We can get those life-log data from user’s smartphone storage. The final product of digital diary includes feeling, time, and physical location information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Goasduff, L., Pettey, C.: Gartner says worldwide smartphone sales soared in fourth quarter of 2011 with 47 percent growth, April 2012
Aizawa, K., Tancharoen, D., Kawasaki, S., Yamasaki, T.: Efficient retrieval of life log based on context and content. In: Proceedings of the 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences, pp. 22–31. ACM (2004)
Hori, T., Aizawa, K.: Context-based video retrieval system for the life-log applications. In: Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp. 31–38. ACM (2003)
Tancharoen, D., Yamasaki, T., Aizawa, K.: Practical experience recording and indexing of life log video. In: Proceedings of the 2nd ACM Won Continuous Archival and Retrieval of Personal Experiences, pp. 61–66. ACM (2005)
Minamikawa, A., Kotsuka, N., Honjo, M., Morikawa, D., Nishiyama, S., Ohashi, M.: Rfid supplement for mobile-based life log system. In: 2007 International Symposium on Applications and the Internet Workshops (2007)
Hwang, K.-S., Cho, S.-B.: Landmark detection from mobile life log using a modular Bayesian network model. Expert Syst. Appl. 36(10), 12065–12076 (2009)
Abe, M., Morinishi, Y., Maeda, A., Aoki, M., Inagaki, H.: A life log collector integrated with a remote-controller for enabling user centric services. IEEE Trans. Cons. Electron. 55(1), 295–302 (2009)
Ryoo, D.-W., Bae, C.: Design of the wearable gadgets for life-log services based on utc. IEEE Trans. Cons. Electron. 53(4), 1477–1482 (2007)
Makino, Y., Murao, M., Maeno, T.: Life log system based on tactile sound. In: Kappers, A.M.L., Erp, J.B.F., Bergmann Tiest, W.M., Helm, F.C.T. (eds.) EuroHaptics 2010. LNCS, vol. 6191, pp. 292–297. Springer, Heidelberg (2010). doi:10.1007/978-3-642-14064-8_42
Guo, A., Ma, J.: A smartphone-based system for personal data management and personality analysis. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Comput ing (CIT/IUCC/DASC/PICOM), pp. 2114–2122. IEEE (2015)
Zini, F., Reinstadler, M., Ricci, F.: Life-logs aggregation for quality of life monitoring. In: Proceedings of the 5th International Conference on Digital Health 2015, pp. 131–132. ACM (2015)
Machajdik, J., Hanbury, A., Garz, A., Sablatnig, R.: Affective com - puting for wearable diary and lifelogging systems: an overview. In: Machine Vision-Research for High Quality Processes and Products-35th Workshop of the Austrian Association for Pattern Recognition. Austrian Computer Society (2011)
Gemmell, J., Bell, G., Lueder, R.: Mylifebits: a personal database for everything. Commun. ACM 49(1), 88–95 (2006)
Kawanishi, N., Tamai, M., Hasegawa, A., Takeuchi, Y., Tajika, A., Ogawa, Y., Furukawa, T.: Lifelog-based estimation of activity diary for cognitive behavioral therapy. In: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pp. 1251–1256. ACM (2015)
Jilek, C., Maus, H., Schwarz, S., Dengel, A.: Diary generation from personal information models to support contextual remembering and reminiscence. In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1–6. IEEE (2015)
Microsoft Cognitive Services. https://www.microsoft.com/cognitive-services/. Accessed 23 Aug 2016
Mahajan, F.R., Estrin, D.: Systemsens: a tool for monitoring usage in smartphone research deployments. In: Proceedings of the Sixth International Workshop on MobiArch, pp. 25–30. ACM (2011)
Android6.0 Marshmallow. https://www.android.com/. Accessed 23 Aug 2016
Lopes, P.N., Salovey, P., Coté, S., Beers, M., Petty, R.E.: Emotion regulation abilities and the quality of social interaction. Emotion 5(1), 113 (2005)
Gross, J.J., Thompson, R.A.: Emotion regulation: conceptual foundations (2007)
Acknowledgments
This work was supported in part by the Ministry of Science, ICT and Future Planning, South Korea, Institute for Information and Communications Technology Promotion through the G-ITRC Program under Grant IITP-2015-R6812-15-0001 and in part by the National Research Foundation of Korea within the Ministry of Education, Science and Technology through the Priority Research Centers Program under Grant 2010-0020210.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Park, Y., Kang, B., Choo, H. (2016). A Digital Diary Making System Based on User Life-Log. In: Hsu, CH., Wang, S., Zhou, A., Shawkat, A. (eds) Internet of Vehicles – Technologies and Services. IOV 2016. Lecture Notes in Computer Science(), vol 10036. Springer, Cham. https://doi.org/10.1007/978-3-319-51969-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-51969-2_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51968-5
Online ISBN: 978-3-319-51969-2
eBook Packages: Computer ScienceComputer Science (R0)