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Fast Human Activity Recognition in Lifelogging
[chapter]
2015
Lecture Notes in Computer Science
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This paper addresses the problem of fast Human Activity Recognition (HAR) in visual lifelogging. ...
We believe that both of these findings are due to the fact that a user's lifelog is rich in reoccurring scenes and environments. ...
One early attempt in activity recognition in lifelogging is by Doherty, et al. in [4] , where the authors aimed at developing a trait interpreter tool in lifelogging data. ...
doi:10.1007/978-3-319-14442-9_43
fatcat:faze2rg7eraytdjmklmckkds2i
Lifelog Agent for Human Activity Pattern Analysis on Health Avatar Platform
2014
Healthcare Informatics Research
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Conclusions: The agent shows how lifelogs are analyzed and summarized to help activity recognition. ...
The objective of the study is to analyze human activity pattern by using lifelog agent cooperating with the Health Avatar platform. ...
[7] presented a human activity monitoring system that identifies human activities, lifelogging with four microelectromechanical systems sensors every day. Shahriyar et al. ...
doi:10.4258/hir.2014.20.1.69
pmid:24627821
pmcid:PMC3950268
fatcat:mmwnv6gtgfdgdcgqxcy4g62vva
When scaling prevention means scaling demand: Voluntary medical male circumcision in Nyanza Province, Kenya
2014
Healthcare: The Journal of Delivery Science and Innovation
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Conclusions: The agent shows how lifelogs are analyzed and summarized to help activity recognition. ...
The objective of the study is to analyze human activity pattern by using lifelog agent cooperating with the Health Avatar platform. ...
[7] presented a human activity monitoring system that identifies human activities, lifelogging with four microelectromechanical systems sensors every day. Shahriyar et al. ...
doi:10.1016/j.hjdsi.2013.12.002
pmid:26250091
fatcat:lck3jlqrrvcbhj3m37aok2jzxu
Computer Vision for Lifelogging
[chapter]
2018
Computer Vision for Assistive Healthcare
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exposure to fast food advertising [41] . ...
For example, the accurate sensing of the Activities of Daily Living (ADL) has many benefits, such as in analyzing human lifestyle, diet monitoring, occupational therapy, aiding human memory, active rehabilitation ...
doi:10.1016/b978-0-12-813445-0.00009-5
fatcat:732ozkjjrbadveqc7qygugpf6q
Introduction to the special issue: Egocentric Vision and Lifelogging
2018
Journal of Visual Communication and Image Representation
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The problem of egocentric activity monitoring is addressed in "Multi-modal Activity Recognition from Egocentric Vision, Semantic Enrichment and Lifelog-60 ging Applications for the Care of Dementia," by ...
Furthermore, egocentric vision and lifelogging have inspired new research opportunities in other fields that require data 10
about human activities, including healthcare and wellness, safety and security ...
doi:10.1016/j.jvcir.2018.06.010
fatcat:rhrhgajxhfa6np4a4ufmjg4o5a
Overview of Lifelogging: Current Challenges and Advances
2021
IEEE Access
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Further details on human activity recognition using various sensor fusion are reported in [53] , [54] .
IV. ...
Human Activity recognition can be defined as the ability to detect human gesture or motion based on data received from different sensors, and then interpret it into well-defined activity or action. ...
doi:10.1109/access.2021.3073469
fatcat:qm32iyh77jc43dbux6ftauhtpu
Aided eyes
2010
Proceedings of the 1st Augmented Human International Conference on - AH '10
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We apply this system to (1) fast object recognition by using a SURF descriptor that is limited to the gaze area and (2) descriptor matching of a past-images database. ...
In this research, we propose a method that involves real-time measurement of eye movement for human memory enhancement; the method employs gaze-indexed images captured using a video camera that is attached ...
contribute to the utilization of augmented human memory. ...
doi:10.1145/1785455.1785480
dblp:conf/aughuman/IshiguroMMR10
fatcat:opaveziv7feyrouwqty6wcnk5m
Toward Storytelling From Visual Lifelogging: An Overview
2017
IEEE Transactions on Human-Machine Systems
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2016 pre-print arXiv:1507.06120v3 fatcat:dvv7nzro2zfythz2gru7qwtwseOther Versions
visual lifelogging. ...
Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time. ...
Thus, the object recognition problem in egocentric data is becoming a challenging and active research field. The first work on object recognition in the domain of lifelogging is by Byrne et al. ...
doi:10.1109/thms.2016.2616296
fatcat:zbxjzfagjnhq3f2dej7poikf3m
Building a Disclosed Lifelog Dataset
2017
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17
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In this paper, we address the challenge of how to build a disclosed lifelog dataset by proposing the principles for building and sharing such types of data. ...
Based on the proposed principles, we describe processes for how we built the benchmarking lifelog dataset for NTCIR-13 -Lifelog 2 tasks. ...
to provide a detailed picture of the experiences of an individual, with numerous applications in terms of assisted technologies for human memory [2] , health and wellness [3, 4] , activities recognition ...
doi:10.1145/3095713.3095736
dblp:conf/cbmi/Dang-NguyenZGRG17
fatcat:wvxlkqgnojfv7cadnyhgiskedi
Memento: A Prototype Lifelog Search Engine for LSC'21
2021
Proceedings of the 4th Annual on Lifelog Search Challenge
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In this paper, we introduce a new lifelog retrieval system called Memento that leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective ...
The system, developed for the 2021 Lifelog Search Challenge, also has a minimalist user interface that includes primary search, temporal search, and visual data filtering components. ...
Lifelogging has a wide range of application domains, such as memory aids [2] , health monitoring [1] , activity recognition [5] , etc. ...
doi:10.1145/3463948.3469069
fatcat:fwziiuf4wvbfhmucrmd4sazsg4
From Multimedia Logs to Personal Chronicles
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
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We present the results for this daily activity segmentation and recognition by using lifelogs of 23 participants. ...
In this paper, we consider the problem of modeling an individual by using daily activity in order to understand their health and behavior. ...
Many human activity recognition systems have been based on situation specific capture. ...
doi:10.1145/3123266.3123375
dblp:conf/mm/OhJ17
fatcat:c5vbk5m3ujeerngrfaefehzoye
Exploring the technical challenges of large-scale lifelogging
2013
Proceedings of the 4th International SenseCam & Pervasive Imaging Conference on - SenseCam '13
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Ambiently and automatically maintaining a lifelog is an activity that may help individuals track their lifestyle, learning, health and productivity. ...
In this paper we motivate and discuss the technical challenges of developing real-world lifelogging solutions, based on seven years of experience. ...
This is a form of planning future activities which is a life activity that everyone engages in. ...
doi:10.1145/2526667.2526678
dblp:conf/sensecam/GurrinSQD13
fatcat:eue5wbxn2faarc6efqdkboblgu
Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier
2020
Sustainability
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The proposed system can be used in healthcare, physical activity detection, surveillance systems and medical fitness fields. ...
Then, the Probability Based Incremental Learning (PBIL) optimizer and the K-Ary tree hashing classifier are applied to model different human activities. ...
They used body shape information to encode depth values for human activity recognition in indoor environments. ...
doi:10.3390/su122410324
fatcat:3ewwolq5yfbkrnhv2fubkf7p6e
SensCare: Semi-automatic Activity Summarization System for Elderly Care
[chapter]
2012
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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The fast growing mobile sensor technology makes sensorbased lifelogging system attractive to the remote elderly care. ...
However, existing lifelogging systems are weak at generating meaningful activity summaries from heterogeneous sensor data which significantly limits the usability of lifelogging systems in practice. ...
SensCare aims at reducing human annotation effort in activity summarization. ...
doi:10.1007/978-3-642-32320-1_1
fatcat:24jtv55v5rcmregtapnkpas6oy
Remembering through lifelogging: A survey of human memory augmentation
2016
Pervasive and Mobile Computing
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The recent trend for lifelogging, continuously documenting ones life through wearable sensors and cameras, presents a clear opportunity to augment human memory beyond simple reminders and actually improve ...
External memory aids such as diaries, photos, alarms and calendars are often employed to assist in remembering important events in our past and future. ...
Acknowledgements Thanks go to Ana Javornik for her help in proof-reading the article and for her very useful comments on the content. ...
doi:10.1016/j.pmcj.2015.12.002
fatcat:hfn45or7uvamtjlinlelwga5z4
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