The Sensors and Devices Group was founded by Steve Hodges in 2005 with the ambition of building hardware systems that change people’s perceptions of technology and how it can be used. Under Steve’s leadership, the group brought together hardware, software and design skills and worked closely with collaborators from other disciplines across Microsoft and the wider community. From 2005-2015.
SenseCam is a wearable digital camera that captures an electronic record of the wearer's day. It does this by automatically recording a series of still images through its wide-angle lens, and.Microsoft's SenseCam is a lifelogging camera with fisheye lens and trigger sensors, such as accelerometers, heat sensing, and audio, invented by Lyndsay Williams, patent granted in 2009. Usually worn around the neck, Sensecam is used for the MyLifeBits project, a lifetime storage database. Early developers were James Srinivasan and Trevor Taylor. Earlier work on neck-worn sensor cameras with.Microsoft Research has been conducting clinical trials to evaluate SenseCam as a memory aid for patients with diagnosed memory loss conditions, including those with Alzheimer’s. Its most recent study just concluded, run in collaboration with Addenbrooke’s Hospital and the MRC (Medical Research Council) Cognition and Brain Sciences Unit, Cambridge, investigated how SenseCam affects.
This paper presents a novel ubiquitous computing device, the SenseCam, a sensor augmented wearable stills camera. SenseCam is designed to capture a digital record of the wearer's day, by recording a series of images and capturing a log of sensor data. We believe that reviewing this information will help the wearer recollect aspects of earlier experiences that have subsequently been forgotten.
In this keynote talk we present one such example system in which we use an integrated combination of the two to automatically structure large collections of images taken by a SenseCam, a device from Microsoft Research which passively records a person’s daily activities. This paper describes the post-processing we perform on SenseCam images in order to present a structured, organised.
A paper titled “Using the SenseCam to Improve Classifications of Sedentary Behavior in Free-Living Settings,” shows, for example, the advantages of wearable cameras over accelerometers in providing both type and context information about sedentary behavior. Jacqueline Kerr and colleagues found that while TV viewing, other screen use, and administrative activities were correctly classified.
The 2013 International SenseCam Conference will be hosted at Calit2 (Atkinson Hall) on the UCSD campus in La Jolla. The meeting will take place on Monday, November 18, and Tuesday, November 19, 2013. Introduction: This two-day conference in cooperation with ACM and SIGCHI is the fourth in the SenseCam series and will bring together international experts in computational science, behavior.
The Microsoft SenseCam, an automated wearable digital camera, has been utilised most in public health research for observation and recording of an individual’s health behaviours. This new technology also provides an opportunity for transport researchers to capture the ground truth about people’s travel. Because there is no signal loss issue on SenseCam and it can take a photo every 20 s on.
Validating the Detection of Everyday Concepts in Visual Lifelogs Daragh Byrne1,2, Aiden R. Doherty1,2,. The Microsoft SenseCam is a small lightweight wearable camera used to passively capture photos and other sensor readings from a user's day-to- day activities. It can capture up to 3,000 images per day, equating to almost 1 million images per year. It is used to aid memory by creating a.
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The SenseCam is a passive capture wearable camera, worn around the neck and developed by Microsoft Research in the UK. When worn continuously it takes an average of 2,000 images per day. It was originally envisaged for use within the domain of Human Digital Memory to create a personal lifelog or visual recording of the wearer's life, which can be helpful as an aid to human memory. However.
SenseCam grew out of a Microsoft Research project that aimed to create a “black box for the human body” which would record data that doctors might find useful if a person were in an accident, says Ken Wood of Microsoft Research Cambridge. In 1999, computer sci-entist Lyndsay Williams, then also at the same lab, suggested adding a camera to the device so it could double as a memory aid for.
Supporting Collaborative Reflection with Passive Image Capture Rowanne Fleck, Geraldine Fitzpatrick. The SenseCam (SC) is a prototype device presently under development at Microsoft Research in Cambridge (13). It is a small wearable device, worn around the neck like a pendant, combining a digital camera with a number of built in sensors (figure 1). The sensors, which measure light, motion.
In this paper, we present a study of responses to the idea of being recorded by a ubicomp recording technology called SenseCam. This study focused on real-life situations in two North American and two European locations. We present the findings of this study and their implications, specifically how those who might be recorded perceive and react to SenseCam. We describe what system parameters.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. This paper presents a novel ubiquitous computing device, the Sense-Cam, a sensor augmented wearable stills camera. SenseCam is designed to capture a digital record of the wearer’s day, by recording a series of images and capturing a log of sensor data. We believe that reviewing this information will help.
Microsoft Research Cambridge; .Microsoft SenseCam is believed to have great potential. data using GPS and Bluetooth sensors while also hosting.
The Microsoft Research Software Radio (Sora) is a fully programmable software radio platform based on the commodity multicore CPU in a host PC. With Sora, researchers and engineers quickly can prototype new, high-speed wireless physical and media-access-control layers with a minimum of effort. This package includes the Sora SDK, the 802.11b sample, and the 802.11a sample.