Wearable computing: a first step toward personal imaging

Mann, Steve

doi:10.1109/2.566147

Cited by 409 publications

(187 citation statements)

References 3 publications

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“…The agents have access to a database of information such as a user's files, email correspondence, etc., which they use to suggest relevant documents based on the current context. Other exoself applications include additions to vision (Mann 1997), team coordination (Fan et al 2005a, b), face recognition (Singletary and Starner 2000), mechanical prediction (Jebara et al 1997), and the recording of emotionally significant events (Healey and Picard 1998).…”

Section: External Hardware and Software Systemsmentioning

confidence: 99%

Cognitive Enhancement: Methods, Ethics, Regulatory Challenges

2009

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Cognitive enhancement takes many and diverse forms. Various methods of cognitive enhancement have implications for the near future. At the same time, these technologies raise a range of ethical issues. For example, they interact with notions of authenticity, the good life, and the role of medicine in our lives. Present and anticipated methods for cognitive enhancement also create challenges for public policy and regulation.

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Section: External Hardware and Software Systemsmentioning

confidence: 99%

Cognitive Enhancement: Methods, Ethics, Regulatory Challenges

2009

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“…These are largely temporary solutions, given the inherent problems of electromagnetic and inclinometer-based approaches, and the line-of-sight restrictions of GPS mentioned below. However, we believe that camera-based approaches [29,21] are a promising way to address the problem.…”

Section: Discussionmentioning

confidence: 99%

“…Long et al have explored the use of infrared tracking in conjunction with handheld displays [17]. Mann [21] has developed a family of wearable systems with headworn displays, the most recent of which uses optical flow to overlay textual information on automatically recognized objects.…”

Section: Related Workmentioning

confidence: 99%

A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment

Feiner

MacIntyre

Höllerer

et al. 1997

Personal Technologies

506

170

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We describe a prototype system that combines together the overlaid 3D graphics of augmented reality with the untethered freedom of mobile computing. The goal is to explore how these two technologies might together make possible wearable computer systems that can support users in their everyday interactions with the world. We introduce an application that presents information about our university's campus, using a head-tracked, see-through, headworn, 3D display, and an untracked, opaque, handheld, 2D display with stylus and trackpad. We provide an illustrated explanation of how our prototype is used, and describe our rationale behind designing its software infrastructure and selecting the hardware on which it runs.

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“…The majority of past research in the visual lifelogging domain has focused on issues of hardware miniaturisation [11] and also storage of images [12]. However, these challenges have been comparatively well addressed [1], resulting in improved wearability of devices and inexpensive storage [2].…”

Section: Visual Lifeloggingmentioning

confidence: 99%

Random Matrix Ensembles of Time Correlation Matrices to Analyze Visual Lifelogs

Crane

Ruskin

et al. 2014

MultiMedia Modeling

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Abstract. Visual lifelogging is the process of automatically recording images and other sensor data. Such lifelogs are usually created using wearable cameras. Given the vast amount of images that are maintained in a visual lifelog, it is a significant challenge to deconstruct a sizeable collection of images into meaningful events for users. In this paper, random matrix theory (RMT) is applied to a crosscorrelation matrix C, constructed using SenseCam lifelog data streams to identify such events. The analysis reveals a number of eigenvalues that deviate from the spectrum suggested by RMT. The components of the deviating eigenvectors are found to correspond to "distinct significant events" in the visual lifelogs. Finally, the cross-correlation matrix C is cleaned by separating the noisy part from the non-noisy part. Overall, the RMT technique is shown to be useful to detect major events in SenseCam images.

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Wearable computing: a first step toward personal imaging

Cited by 409 publications

References 3 publications

Cognitive Enhancement: Methods, Ethics, Regulatory Challenges

Cognitive Enhancement: Methods, Ethics, Regulatory Challenges

A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment

Random Matrix Ensembles of Time Correlation Matrices to Analyze Visual Lifelogs

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