The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
SenseCam: A Retrospective Memory Aid
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Citations
Cites
Conway, M. A. (2005) · Journal of Memory and Language · doi:10.1016/j.jml.2005.08.005 · Cited by 2,155
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703 · cited 1×
“One final option in the viewer software is to process the entire sequence of images to determine which images are most like each other, using an image similarity algorithm based on textons [12].”
MethodWhat is autobiographical memory?
Brewer, W. F. (1986) · Autobiographical Memory · doi:10.1017/cbo9780511558313.006 · Cited by 660 · cited 1×
“Autobiographical memory is thought to be rich in visual imagery [2, 3].”
BackgroundThe Neuropsychology of autobiographical memory
GREENBERG, D., & RUBIN, D. (2003) · Cortex · doi:10.1016/s0010-9452(08)70860-8 · Cited by 318
ENHANCING CONVERSATION SKILLS IN PATIENTS WITH ALZHEIMER'S DISEASE USING A PROSTHETIC MEMORY AID
Bourgeois, M. S. (1990) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1990.23-29 · Cited by 200 · cited 2×
“photos of a family holiday ten years earlier or notes taken in a meeting two days previously [1, 13].”
Background
Cited by
A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
Beyond total capture: a constructive critique of lifelogging
Sellen, A. J., & Whittaker, S. (2010) · Communications of the ACM · doi:10.1145/1735223.1735243 · Cited by 377
Do life-logging technologies support memory for the past?: an experimental study using sensecam
Sellen, A. J., Fogg, A., Aitken, M., Hodges, S., Rother, C., & Wood, K. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240636 · Cited by 324
Self-citationReflecting on reflection: framing a design landscape
Fleck, R., & Fitzpatrick, G. (2010) · Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction · doi:10.1145/1952222.1952269 · Cited by 319
BodyScope: a wearable acoustic sensor for activity recognition
Yatani, K., & Truong, K. N. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing · doi:10.1145/2370216.2370269 · Cited by 310
Metadata
- Authors
- Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., & Wood, K.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 177-193
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2142556291
- Cited by
- 753
- References
- 5
- FWCI
- 24.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
