We are pleased to to welcome you to the 2016 ACM Multimedia Workshop on Lifelogging Tools and Applications -- LTA'16. This workshop aims at bringing together interdisciplinary researchers and practitioners to discuss approaches to lifelog data analytics and applications. This first edition of LTA offers a forum to debate the opportunities and challenges for researchers and practitioners in this new and challenging area.
The call for papers attracted submissions from Italy, Switzerland, the United States, Singapore, Ireland, Canada and Spain.
We also encourage attendees to attend the two keynote talks, that will complement the technical nature of the oral and poster sessions with a view of lifelogging technologies from the quantified self and mental healthcare communities. These valuable and insightful talks can and will guide us to a better understanding of the future:
The Promise of Quantified Self as an Assistive Technology 1, Maarten den Braber (Quantified Self Amsterdam)
Harnessing the quantified self movement for optimal mental health and wellbeing, Alisha Williams (University of Utrecht)
Proceeding Downloads
The Emergence of Quantified Self as a Data-driven Movement to Promote Health and Wellness
Within the last few years we have noticed an increasing use of digital technologies by individuals as a means to provide inputs on aspects of a person's daily life, typically for improving health and wellness. This is commonly referred to as the ...
Cued Retrieval of Personal Memories of Social Interactions
This paper aims at developing a social interactions summarizer system that firstly summarizes a person's daily social interactions, with the purpose of enhancing his episodic memory and secondly provides various methods for searching in the collected ...
Personal Information Manager to Capture and Re-Access What We See on Computers
Nowadays we live in a world where many of us engage with computers more than humans as a result of spending a major part of our life in front of a range of computing devices. Consequently, it's becoming important to shed more light on our interactions ...
Prizm: A Wireless Access Point for Proxy-Based Web Lifelogging
We present Prizm, a prototype lifelogging device that comprehensively records a user's web activity. Prizm is a wireless access point deployed on a Raspberry Pi that is designed to be a substitute for the user's normal wireless access point. Prizm ...
NTCIR-12 Lifelog Data Analytics
Lifelogging is the process of automatically, ambiently and digitally recording episodes of one's life experiences. NTCIR-12 Lifelog test collection was initially created, as support for the Information Retrieval (IR) community, to develop new and novel ...
Harnessing the quantified self movement for optimal mental health and wellbeing
Treatment innovation in the mental health sector is a major public-health priority. A specific sub-challenge underlying the development of new treatments is the use of digital technologies to support mental health interventions. In addition to the ...
Describing Lifelogs with Convolutional Neural Networks: A Comparative Study
Life-logging technologies, e.g. wearable cameras taking pictures at a fixed interval, can be used as a means of memory preservation (in digital form), caregiver monitoring and even cognitive therapy to train our brains. Yet, such large amount of data ...
Organizing Egocentric Videos for Daily Living Monitoring
- Alessandro Ortis,
- Giovanni Maria Farinella,
- Valeria D'Amico,
- Luca Addesso,
- Giovanni Torrisi,
- Sebastiano Battiato
Egocentric videos are becoming popular since the possibility to observe the scene flow from the user's point of view (First Person Vision). Among the different assistive applications in this context there is the daily living monitoring of a user that is ...
Where is my Phone?: Personal Object Retrieval from Egocentric Images
This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearable camera. Each personal object is modelled by a small set of images that ...
Cited By
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Chung S, Jeong C, Lim J, Lim J, Noh K, Kim G and Jeong H (2021). Real‐world multimodal lifelog dataset for human behavior study, ETRI Journal, 10.4218/etrij.2020-0446, 44:3, (426-437), Online publication date: 1-Jun-2022.
- Dang-Nguyen D, Riegler M, Zhou L and Gurrin C Challenges and Opportunities within Personal Life Archives Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, (335-343)
Index Terms
- Proceedings of the first Workshop on Lifelogging Tools and Applications