David Binnie
Edinburgh Napier University
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Publication
Featured researches published by David Binnie.
Urban Studies | 2000
Julian Hine; Derek Swan; Judith Scott; David Binnie; J Sharp
Urban wayfinding technology offers many possibilities by which older people and mobility-impaired users can overcome the barriers encountered on every-day journeys in the built environment. Previous work has highlighted the extent to which personal mobility and independence are significant determinants of the quality of life amongst both elderly and visually impaired groups. The paper outlines the development of the auditory location finder (ALF), which is a beacon-based local information system designed to enhance the wayfinding activities of these, and potentially other, user-groups in the community. The proposed system provides the user with an audio message, which is obtained on request via a small portable hand unit. The messages inform the user of their whereabouts and give information about the area that they are currently in. The development of the device involves issues such as message content and structure, route choice, orientation, landmarks, clues and the extent of user reliance on technology. Preliminary trials have been carried out in a UK city and have obtained initial user feedback to help underpin the technological development of the device and its potential application. The paper concludes by outlining the importance of new urban technology and the way in which such local information systems can potentially contribute to overcoming particular patterns of exclusion experienced by mobility-impaired groups, such as the visually impaired.
Transportation Research Record | 2004
Jon M. Kerridge; Alistair Armitage; David Binnie; Lucy Lei; Neil Sumpter
Monitoring the movement of pedestrians in everyday environments is difficult, especially if accurate data are required. Typically, data pertaining to the origins and destinations of pedestrians as they move around a space can be obtained only by either locating many observers in the area that is under surveillance or analyzing closed-circuit television footage. The former is error prone and perturbs the space being analyzed; the latter is expensive in regard to the technology and time required. Technical advances in low-cost infrared detectors provide an opportunity to observe pedestrian spaces unobtrusively and determine individual pedestrian trajectories automatically. The underpinning detector technology is described, and the way arrays of such detectors can be used to monitor larger spaces is shown. An outline of the algorithm used to create complete trajectories as pedestrians move between detectors is presented. A series of experiments is described: pedestrians were asked to move in a set of defined patterns in a controlled environment. Initial results from these experiments are discussed. It was found that at Fruin Levels of Service A to C, 93% of pedestrian trajectories could be tracked; that count dropped to 79% at Level of Service D.
user interface software and technology | 2013
Piotr Wojtczuk; David Binnie; Alistair Armitage; Timothy Chamberlain; Carsten Giebeler
A sensing device for a touchless, hand gesture, user interface based on an inexpensive passive infrared pyroelectric detector array is presented. The 2 x 2 element sensor responds to changing infrared radiation generated by hand movement over the array. The sensing range is from a few millimetres to tens of centimetres. The low power consumption (< 50 μW) enables the sensors use in mobile devices and in low energy applications. Detection rates of 77% have been demonstrated using a prototype system that differentiates the four main hand motion trajectories -- up, down, left and right. This device allows greater non-contact control capability without an increase in size, cost or power consumption over existing on/off devices.
Archive | 2005
Jon M. Kerridge; Robert Kukla; Alexandra Willis; Alistair Armitage; David Binnie; Lucy Lei
We provide a comparison of the relative merits of video and infrared based methods for collecting pedestrian movements from the real world and also from experimental environments. We describe the underlying technological basis of both methods and the tools we have developed to help in collection and analysis of the data. The desire to collect such data is driven by the need of modellers and simulation packages to use base data that is founded in valid empirical evidence, rather than some form of inspired supposition, as is the case with many of the current systems. In addition to the collection of speeds we are also interested in understanding and quantifying the ranges of distances people deviate from a straight-on path when confronted by some obstruction in front of them.
Archive | 2004
Jon M. Kerridge; Alistair Armitage; David Binnie; Lucy Lei; Neil Sumpter
Archive | 2003
Alistair Armitage; David Binnie; Jon M. Kerridge; Lucy Lei
Archive | 2012
Piotr Wojtczuk; Alistair Armitage; David Binnie; Timothy Chamberlain
SENSORDEVICES 2011, The Second International Conference on Sensor Device Technologies and Applications | 2011
Piotr Wojtczuk; Alistair Armitage; David Binnie; Timothy Chamberlain
Archive | 1997
Alistair Armitage; Kenneth Benjamin; D Setiadi; H Weller; David Binnie
Archive | 2003
Alistair Armitage; David Binnie; Jon M. Kerridge; Lucy Lei