H. Aoki, B. Schiele and A. Pentland, "Realtime personal positioning system for a wearable computers," in Proc. International Symp. on Wearable Computing, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....information about the light source is easily determined by measuring the overall incoming light into a camera: In sunlight there is much red light, while in cloudy weather the light will be bluish. The PDA could use this to determine the weather conditions, or to know it is outside or inside [1,5,23]. Visual context markers (pictograms) can be used as well: coffee room, playground, toilet, museum, etc. This again presumes an infrastructure of such markers, but as these markers are simple to construct and apply in contrast with position markers they do not need to be fixed at an exact ....

H. Aoki, B. Schiele, A. Pentland, Realtime personal positioning system for a wearable computer, The Third International Symposium on Wearable Computers, Digest of Papers (1999) 37 -- 43.

....placement is less constrained and a range of positions are possible. A variety of solutions appear in the literature. In [7, 8] hat mounted cameras have been used to look down at the user s hands and reaching space, whereas in [9, 13] cameras are strapped to the wearer s hands themselves. In [10], a hat mounted camera looks forward, an orientation also used when the camera is attached to a head mounted display [2] In contrast, 11, 6] uses a camera worn on the chest, in [5] an omnidirectional camera is used above the head, and a wide angle lens camera mounted at the back in [12] and in ....

H. Aoki, B. Schiele and A. Pentland, "Realtime personal positioning system for a wearable computers," In IEEE Int. Symposium on Wearable Computing, October 18-19, San Francisco CA USA, 1999.

.... tried for wider area outdoor and indoor tracking [31] Experimental fiducial free vision based tracking approaches compare features of recorded imagery to a catalogue of previously gathered features for the given environment, making it possible to identify discrete events, such as entering a room [29, 2]. Other recent work attempts to identify continuous paths through an environment based on omnidirectional imagery captured from the user s head [27] Given the wide range of strengths and weaknesses that different tracking technologies have in different circumstances, one promising approach is to ....

H. Aoki, B. Schiele, and A. Pentland. Realtime personal positioning system for wearable computers. In Proc. ISWC '99 (Third Int. Symp. on Wearable Computers), pages 37--43, San Francisco, CA, October 18--19 1999.

....to place the camera(s) on the human body is less straightforward than that for, say, mobile robots. In [7, 8] for example, a hat mounted camera is used to look downwards at the user s hands and personal reaching space, whereas in [9, 10] cameras are strapped to the wearer s hands themselves. In [11] the hat mounted camera looks outwards to where the user s face points, an orientation also favoured when the camera is attached to a head mounted display [12, 13] By contrast, in [14] the camera is worn on the chest. The above placements are based on task feasibility and performance using ....

H. Aoki, B. Schiele and A. Pentland, "Realtime personal positioning system for a wearable computers," in Proc. International Symp. on Wearable Computing, 1999.

....she is in front or behind a wall) This problem can be avoided by using optical media, such as infrared light, to track the user s position, of course at the cost of equipping the environment with special hardware. Other approaches try to determine the location with the help of computer vision [1], but they currently still lack a certain degree of accuracy and reliability. In the last section of this paper we will present A) 122 118 119 123 124 120 stairs lift B) C) D) N Figure 2: Four different graphical way description schemata that depend on the quality of orientation and ....

Hisashi Aoki, Bernt Schiele, and Alex Pentland. Realtime personal positioning system for wearable computers. In The third Symposium on Wearable Computers, pages 37--43, Los Alamitos, California, 1999. IEEE Computer Society.

....from the location system. Starner et al. 20] use hidden Markov models (HMM s) and simple features from forward and downward looking hat mounted cameras (Figure 6) to determine in which of fourteen rooms a user is traveling with 82 accuracy. Using a forward looking hat mounted camera, Aoki et al. [10] demonstrate a dynamic programming algorithm using color histograms to distinguish between sixteen video trajectories through a laboratory space with 75 accuracy. Clarkson and Pentland [5] use HMM s with both audio and visual features from body mounted cameras and microphones for unspecified ....

B. Schiele H. Aoki and A. Pentland. Real-time personal positioning system for wearable computers. In ISWC99, 1999.

....various kinds of user situations via wearable sensors. Starner [6] uses HMMs and omnidirectional and directional cameras to determine the user s location in a building and current action during a physical game. Aoki also uses a head mounted directional camera to determine indoor location in [1]. Sumi et al. uses locational and history context to provide a wearable exhibition agent in [7] Brand [2] presents an interesting idea for determining the states of human activity. His work relates strongly to the underlying motivation of this work (see author s previous work in [3] 4] ....

Aoki, H., B. Schiele, and A. Pentland, Realtime Personal Positioning System for Wearable Computers. International Symposium on Wearable Computers '99, 1999.

....with consequences for the reliability and scope of the reminders which can be delivered. Examples of the way location context may be acquired include GPS receivers (outdoors only) 6] tagged environments and portable sensors[9] wearable tags and smart environments[11, 5] computer vision[1, 10], and combinations of other types of sensors[4] Each of these techniques have speci c strengths and weaknesses, the most important being the degree of infrastructure dependence. Being able to condition reminders on location is a powerful addition to a proactive reminder system, enabling ....

....phone, or a high risk task like crossing the street. The diculty is that recognizing user actions (or environmental conditions) generally requires high bandwidth sensing and sophisticated analysis. Computer vision techniques have been shown to be e ective in identifying user location and action [5, 1], but only recently has it become possible to do this type of sensing and analysis in an easily portable or wearable package, independent of outside infrastructure, with reasonable battery life and performance. The goal of the Memory Glasses project is to produce an activity location time based ....

Hisashi Aoki, Bernt Schiele, and Alex Pentland. Realtime personal positioning system for a wearable computer. In Digest of Papers. Third International Symposium on Wearable Computers, pages 37-43. IEEE Computer Society, 1999.

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H. Aoki, B. Schiele and A. Pentland, "Realtime personal positioning system for a wearable computers," in Proc. International Symp. on Wearable Computing, 1999.

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Hisashi Aoki, Bernt Schiele, and Alex Pentland. Realtime personal positioning system for wearable computers. In Proceedings of the Third IEEE International Symposium on Wearable Computers, pages 37--43. IEEE Computer Society, 1999. (Ref: p. 24.)

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H. Aoki, B. Schiele, and A. Pentland. Realtime personal positioning system for a wearable computers. In Proc 3rd IEEE Int Symp on Wearable Computing, San Francisco CA, Oct 18-19, 1999.

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H. Aoki, B. Schiele and A. Pentland, "Realtime personal positioning system for a wearable computers," in Proc. International Symp. on Wearable Computing, 1999.

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H. Aoki, B. Schiele and A. Pentland, "Realtime Personal Positioning System for a Wearable Computers", The Third International Symposium on Wearable computer, San Francisco CA, 1999, pp. 37-43.

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