SenseCam: A Retrospective Memory Aid

By Steve Hodges, Lyndsay Williams, Emma Berry, Shahram Izadi, James Srinivasan, Alex Butler, Gavin Smyth, Narinder Kapur, Ken Wood. Ubiquitous Computing, 2006

810 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/d92aeca4ece0335c065b460e1db62b57da12a82d

How researchers see this paper

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In Computer Vision and Pattern Recognition

In Developmental and Educational Psychology

In Psychiatry and Mental health

Citations in the corpus

No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist (2015, background): “In addition to studying these technologies from the perspective of health and wellness [22, 28, 34], HCI researchers also study their potential for improving selfknowledge (personal informatics) [25, 26], augmenting memory [18], and reducing environmental impact [10].”
A Survey on Ambient-Assisted Living Tools for Older Adults (2013, background): “record of the wearer’s day in terms of a series of images and a log of sensor data [181].”
Do life-logging technologies support memory for the past?: an experimental study using sensecam (2007, background): “A case in point is a technology called “SenseCam” [18].”
How can we capture the subject’s perspective? An evidence-based approach for the social scientist (2011, methodology): “We have combined SEBE with classic filming by external cameras, with panoramic 360-degree video cameras, with SenseCams (Hodges et al., 2006), with remote cameras in video-conferences, with eye-tracking, with physiological monitoring (heart rate, blood pressure, skin conductance …), and of course wi”
BodyScope: a wearable acoustic sensor for activity recognition (2012, methodology): “Because cameras have become low-cost and small enough that the user can always wear them ( e.g., SenseCam [15]), computer vision can also be used to determine user activity.”
EgoVQA - An Egocentric Video Question Answering Benchmark Dataset (2019, background): “Sensecam: A retrospective memory aid.”
A Survey on Ambient Intelligence in Health Care (2013, neutral): “SenseCam is a small wearable camera developed by Microsoft, which captures a digital record of the wearer’s day in terms of images in addition and a log of sensor data [163].”
A lived informatics model of personal informatics (2015, background): “Some people track the domains we study using different classes of tools that we do not extensively report on, such as tools that passively record location (e.g., Moves, SenseCam [17]).”
Deepdiary: Lifelogging image captioning and summarization (2018, background): “These cameras have long been studied in the ubiquitous computing research community for applications like recording food and other health choices, treating dementia, assisting people with visual impairments, and quantifying social interactions [1,4,22,38,44,63,68].”
Detecting activities of daily living in first-person camera views (2012, background): “One may argue that it is more practical to instrument the observer; for example, wearable cameras are easy to deploy, innocuous, and increasingly common [17].”
Predicting Important Objects for Egocentric Video Summarization (2015, methodology): “Methods in ubiquitous computing use manual intervention [28] or ex-ternal non-visual sensors [29,30] (e.g., skin conductivity or audio) to trigger snapshots from a wearable camera.”
A Survey of Augmented Reality (2015, background): “Lifelogging interfaces are those used by a person to capture their everyday experience, such as the SenseCam [Hodges et al., 2006] camera that continuously records audio and video from the wearer.”
A stage-based model of personal informatics systems (2010, background): “SenseCam, a wearable digital camera, takes photographs throughout the day while worn by the user [10].”
LifeLogging: Personal Big Data (2014, methodology): “The SenseCam, as described in Hodges et al. (2006, 2011), was a wearable camera developed by Steve Hodges, Lyndsay Williams and others at Microsoft Research, in Cambridge, UK.”
MarkIt: privacy markers for protecting visual secrets (2014, background): “With Internet of Things [11] and Life Logging camera [6], the extent to which such information can be gathered is unimaginable.”
Memory is More than just Remembering: Strategic Control of Encoding, Accessing Memory, and Making Decisions (2007, background): “(Thompson, 2006, p. 72) This claim is borne out by evidence with both normal daily use (Sellen et al., 2007) and with amnesic patients (Hodges et al., 2006; Kapur, Glisky, & Wilson, 2002).”
Enhancing Lifelogging Privacy by Detecting Screens (2016, background): “These wearable devices let people record or ‘lifelog’ visual diaries of their lives from a ‘ﬁrst-person’ perspective, in order to treat memory loss and dementia [14], to enhance public security and accountability [8], or just for fun.”