Auto-navigation of a wheelchair

Wang, Honbo; Kang, Chul-Ung; Ishimatsu, Takakazu; Ochiai, Tsumoru

doi:10.1007/bf02471129

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…The natural landmark navigation does not require installation of special beacons, and the algorithms allow faster adaptation of the wheelchair to the unknown home environment. The proposed navigation solutions vary from the detection of the location of ceiling mounted lamps [63] to the detection of doorframes and furniture edges [43], [64]. New travel routines can be easily added to the computer memory without assistance of a specialized staff.…”

Section: ) Electromechanical Devices For Movement Assistancementioning

confidence: 99%

The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives

Stefanov

Bien

Bang

2004

IEEE Trans. Neural Syst. Rehabil. Eng.

304

120

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Abstract-Smart houses are considered a good alternative for the independent life of older persons and persons with disabilities. Numerous intelligent devices, embedded into the home environment, can provide the resident with both movement assistance and 24-h health monitoring. Modern home-installed systems tend to be not only physically versatile in functionality but also emotionally human-friendly, i.e., they may be able to perform their functions without disturbing the user and without causing him/her any pain, inconvenience, or movement restriction, instead possibly providing him/her with comfort and pleasure. Through an extensive survey, this paper analyzes the building blocks of smart houses, with particular attention paid to the health monitoring subsystem as an important component, by addressing the basic requirements of various sensors implemented from both research and clinical perspectives. The paper will then discuss some important issues of the future development of an intelligent residential space with a human-friendly health monitoring functional system. Index Terms-Health monitoring, intelligent house, smart house, wearable sensor.

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Section: ) Electromechanical Devices For Movement Assistancementioning

confidence: 99%

The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives

Stefanov

Bien

Bang

2004

IEEE Trans. Neural Syst. Rehabil. Eng.

304

120

View full text Add to dashboard Cite

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“…As pesquisas eram então centradas em veículos capazes de seguir trajetórias e de desviarse de obstáculos que eram providos de sensores, como câmaras de vídeo e ultrassom (Mazo, et al, 1995), (Katevas, et al, 1997), (Wang, Kang, Ishimatsu, & Ochiai, 1997) e debruçavam-se em volta dos problemas de controlo, navegação e desvio de obstáculos sem que fosse dada muita importância ao utilizador.…”

Section: Veículos Autónomos Assistidosunclassified

Natural Interactions: An Application for Gestural Hands Recognition

Proença

Guerra

2013

IFIP Advances in Information and Communication Technology

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“…Hence, the total uncertainty accumulates over time. A different approach is followed in [26], where an automated wheelchair is localized by a camera recognizing landmarks on the ceiling, while two encoders and an azimuth sensor are used when the landmarks are out of view.…”

Section: Introductionmentioning

confidence: 99%

Design and performance analysis of an indoor position tracking technique for smart rollators

Nazemzadeh

Fontanelli

Macii

et al. 2013

International Conference on Indoor Positioning and Indoor Navigation

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Abstract-This paper presents a position tracking technique based on multisensor data fusion for rollators helping elderly people to move safely in large indoor spaces such as public buildings, shopping malls or airports. The proposed technique has been developed within the FP7 project DALi, and relies on an extended Kalman filter processing data from dead-reckoning sensors (i.e. encoders and gyroscopes), a short-range radio frequency identification (RFID) system and a front Kinect camera. As known, position tracking based on dead-reckoning sensors only is intrinsically affected by growing uncertainty. In order to keep such uncertainty within wanted boundaries, the position values are occasionally updated using a coarse-grained grid of low-cost passive RFID tags with known coordinates in a given map-based reference frame. Unfortunately, RFID tag detection does not provide any information about the orientation of the rollator. Therefore, a front camera detecting some markers on the walls is used to adjust direction. Of course, the data rate from both the RFID reader and the camera is not constant, as it depends on the actual user's trajectory and on the distance between pairs of RFID tags and pairs of markers. Therefore, the average distance between tags and markers should be properly set to achieve a good trade-off between overall deployment costs and accuracy. In the paper, the results of a simulation-based performance analysis are reported in view of implementing the proposed localization and tracking technique in a real environment.

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Auto-navigation of a wheelchair

Cited by 14 publications

References 13 publications

The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives

The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives

Natural Interactions: An Application for Gestural Hands Recognition

Design and performance analysis of an indoor position tracking technique for smart rollators

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