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Fast Human Activity Recognition in Lifelogging [chapter]

Stefan Terziyski, Rami Albatal, Cathal Gurrin
2015 Lecture Notes in Computer Science  
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

Yongjin Kwon, Kyuchang Kang, Changseok Bae, Hee-Joon Chung, Ju Han Kim
2014 Healthcare Informatics Research  
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

Rebecca L. Weintraub, Julie R. Talbot, Keri J. Wachter, Claire B. Cole, Maria A. May, Nicholas Muraguri
2014 Healthcare: The Journal of Delivery Science and Innovation  
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]

Peng Wang, Lifeng Sun, Alan F. Smeaton, Cathal Gurrin, Shiqiang Yang
2018 Computer Vision for Assistive Healthcare  
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

Mariella Dimiccoli, Cathal Gurrin, David Crandall, Xavier Giró-i-Nieto, Petia Radeva
2018 Journal of Visual Communication and Image Representation  
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

Amel Ksibi, Ala Saleh Alluhaidan, Amina Salhi, Sahar A. El-Rahman
2021 IEEE Access  
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

Yoshio Ishiguro, Adiyan Mujibiya, Takashi Miyaki, Jun Rekimoto
2010 Proceedings of the 1st Augmented Human International Conference on - AH '10  
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

Marc Bolanos, Mariella Dimiccoli, Petia Radeva
2017 IEEE Transactions on Human-Machine Systems  
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

Duc-Tien Dang-Nguyen, Liting Zhou, Rashmi Gupta, Michael Riegler, Cathal Gurrin
2017 Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17  
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

Naushad Alam, Yvette Graham, Cathal Gurrin
2021 Proceedings of the 4th Annual on Lifelog Search Challenge  
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

Hyungik Oh, Ramesh Jain
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
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

Cathal Gurrin, Alan F. Smeaton, Zhengwei Qiu, Aiden Doherty
2013 Proceedings of the 4th International SenseCam & Pervasive Imaging Conference on - SenseCam '13  
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

Ahmad Jalal, Mouazma Batool, Kibum Kim
2020 Sustainability  
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]

Pang Wu, Huan-Kai Peng, Jiang Zhu, Ying Zhang
2012 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
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

Morgan Harvey, Marc Langheinrich, Geoff Ward
2016 Pervasive and Mobile Computing  
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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