Philosophies and technologies for ambient aware devices in wearable computing grids

Jonker, Pieter; Persa, Stelian; Caarls, J Jurjen; Jong, Frank de; Lagendijk, Inald

doi:10.1016/s0140-3664(02)00249-9

Cited by 15 publications

(4 citation statements)

References 10 publications

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“…Internet protocol Benedetto and Nardis (2006) Balasubramaniam and Indulska (2004), Bellavista, Corradi, and Foschini (2007), Marias, Prigouris, Papazafeiropoulos, Hadjiefthymiades, and Merakos (2004), Mcnair and Zhu (2004), Qing et al (2006), Rocha and Endler (2006), Yang, Wu, Yang, and Liu (2007) Sensing Brilingaitė and Jensen (2007), Gellersen, Schmidt, and Beigl (2002), Gellersen, Kortuem, Schmidt, and Beigl (2004), Goulev, Stead, Mamdani, and Evans (2004), Gross, Egla, andMarquardt (2006), Jonker, Persa, Caarls, de Jong, andLagendijk (2003), Knight et al (2007), Matsushita (2001), Michahelles and Samulowitz (2004), Pfeifer (2005), Schmidt and Laerhoven (2001), Xu, Fu, Lee, and Winter (2007), Zhong and Gilbert (2005) Network requirement Dixit (2002), Harter, Hopper, Steggles, Ward, and Webster (2002), Kanter (2002), Yang et al (2007) Network implementation Aguiar, Sarma, Bijwaard, Marchetti, and Pacyna (2007), Schmidt (2001), Cano, Ferrandez-Bell, andManzoni (2005), Gonzalez-Castano, Garcia-Reinoso, Gil-Castineira, Costa-Montenegro, and Pousada-Carballo (2005), Riva, Nadeem, Borcea, and Iftode (2007), Wang et al (2004) Table 7 References of middleware layer.…”

Section: Classification Criteria Referencesmentioning

confidence: 99%

Context-aware systems: A literature review and classification

Hong

Suh

Kim

2009

Expert Systems with Applications

488

277

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Section: Classification Criteria Referencesmentioning

confidence: 99%

Context-aware systems: A literature review and classification

Hong

Suh

Kim

2009

Expert Systems with Applications

488

277

View full text Add to dashboard Cite

“…In 2006, Roetenberg proposed of using a set of triaxial accelerometer, triaxial gyroscopes and a magnetometer to estimate and monitor human motion in his dissertation [13]. There are also multiple researches for incorporating inertial measurement units for motion tracking into virtual and augmented reality environment [14]- [16]. Recently, Kun used accelerometers and magnetometers to estimate the knee joint motion during gait [15].…”

Section: Introductionmentioning

confidence: 99%

Design of wireless inertial trackers for human joint motion analysis

Mahfouz

2012

2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)

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Body motion analyzing has always been a useful tool to evaluate patients' joint kinematics. Optical tracking is one of the most accurate dynamic tracking systems, and is commonly used as diagnosis devices for joint motion analysis. However, these systems are usually located in gait analysis laboratory and not readily available in clinic or hospital for day to day diagnostic use. In order to provide an alternative means for joint kinematics assessment, the following method is examined. An inertial sensing node composes of a set of inertial micro-electromechanical system (MEMS) sensors (accelerometers, gyroscopes and magneto-meters) were used to track two adjacent joint segments. This paper presents a preliminary study of motion tracking of the upper and lower extremities of the leg during dynamic activities. Each node communicates wirelessly to the base station with Bluetooth. A quaternion based Extended Kalman Filter (EKF) was implemented to process the data for orientation estimation. Anatomy constraint is applied to the relative orientation of the estimation. The focus of this paper is to introduce the framework of easy to use, high mobility, low cost motion analysis and diagnostic system that can be used in doctor's office.

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“…However, in AR this is a 3D problem rather than a 2D problem and, worse, the human head can move rapidly with respect to the real world. A first solution was worked out in 1999 [5] after which we refined this in later phases [6,7]. We used one or more visual markers, with known size, position, and distances to each other, which can be found and tracked by a measurement camera on the headset.…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality for Art, Design and Cultural Heritage—System Design and Evaluation

Caarls

Jonker

Kolstee

et al. 2009

EURASIP Journal on Image and Video Processing

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This paper describes the design of an optical see-through head-mounted display (HMD) system for Augmented Reality (AR). Our goals were to make virtual objects "perfectly" indistinguishable from real objects, wherever the user roams, and to find out to which extent imperfections are hindering applications in art and design. For AR, fast and accurate measuring of head motions is crucial. We made a head-pose tracker for the HMD that uses error-state Kalman filters to fuse data from an inertia tracker with data from a camera that tracks visual markers. This makes on-line head-pose based rendering of dynamic virtual content possible. We measured our system, and found that with an A4-sized marker viewed from > 20 • at 5 m distance with an SXGA camera (FOV 108 • ), the RMS error in the tracker angle was < 0.5 • when moving the head slowly. Our Kalman filters suppressed the pose error due to camera delay, which is proportional to the angular and linear velocities, and the dynamic misalignment was comparable to the static misalignment. Applications of artists and designers lead to observations on the profitable use of our AR system. Their exhibitions at world-class museums showed that AR is a powerful tool for disclosing cultural heritage.

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Philosophies and technologies for ambient aware devices in wearable computing grids

Cited by 15 publications

References 10 publications

Context-aware systems: A literature review and classification

Context-aware systems: A literature review and classification

Design of wireless inertial trackers for human joint motion analysis

Augmented Reality for Art, Design and Cultural Heritage—System Design and Evaluation

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