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A core problem humanity faces today — underlying failing economies and governments, widespread corruption, and systems interoperability disasters — comes from a lack of integrity. We live in a world where organizations seek to know everything about us, yet reveal substantially nothing about themselves. This is a world of hypocrisy, which is the opposite of integrity. Hypocrisy is evident in entities...
Hospital acquired infections (HAIs) occur frequently in hospitalized patients. Staff compliance with hand hygiene (HH) policy during patient care has been shown to reduce HAIs. Currently, hospitals evaluate adherence to HH policies through direct observation by human auditors. The auditors do not have authority over staff members; thus, this process is more akin to sousveillance (watching from below)...
Surveillance is a French word that means “to watch from above” (e.g. guards watching prisoners, police watching citizens, etc.). Another form of veillance (watching) is sousveillance, which means “to watch from below”. Whereas surveillance often means cameras on large entities (e.g. buildings and land), sousveillance often means cameras on small entities (e.g. individual people). The importance of...
Wearable computing can be used to both extend the range of human perception, and to share sensory experiences with others. For this objective to be made practical, engineering considerations such as form factor, computational power, and power consumption are critical concerns. In this work, we consider the design of a low-power visual seeing aid, and how to implement computationally-intensive computational...
This paper presents “FreeGlass”, a hands-free user-buildable wearable computer system based on Mann's “Digital Eye Glass” (also known as EyeTap) concept developed 35 years ago. Like Mann's “Eye Glass”, FreeGlass is based on free and Open Source principles consistent with a free and open i-Society. FreeGlass is suitable for researchers and creators of AR (Augmediated Reality) Glass, LifeGlogging, etc...
We propose a novel computational method for compositing low-dynamic-range (LDR) images into an high-dynamic-range (HDR) image by the use of a comparametric camera response function (CCRF), which is the response of a virtual HDR camera to multiple inputs.
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