Smart wheelchair perception using odometry, ultrasound sensors, and camera

Horn, O.; Kreutner, Michel

doi:10.1017/s0263574708004773

Cited by 27 publications

(13 citation statements)

References 22 publications

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“…Ultrasonics were used because they are tough and uncomplicated [4,5,28,29]. Sanders et al presented the most recent ultra-sonic sensor system for a wheelchair [10][11][12][13].…”

Section: Ultrasonic Sensorsmentioning

confidence: 99%

Using a Simple Expert System to Assist a Powered Wheelchair User

Sanders

Okono

Langner³

et al. 2019

Advances in Intelligent Systems and Computing

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A simple expert system is described that helps wheelchair users to drive their wheelchairs. The expert system takes data in from sensors and a joystick, identifies obstacles and then recommends a safe route. Wheelchair users were timed while driving around a variety of routes and using a joystick controlling their wheelchair via the simple expert system. Ultrasonic sensors are used to detect the obstacles. The simple expert system performed better than other recently published systems. In more difficult situations, wheelchair drivers did better when there was help from a sensor system. Wheelchair users completed routes with the sensors and expert system and results are compared with the same users driving without any assistance. The new systems show a significant improvement.

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“…Ultrasonics were used because they are tough and uncomplicated [4,5,28,29]. Sanders et al presented the most recent ultra-sonic sensor system for a wheelchair [10][11][12][13].…”

Section: Ultrasonic Sensorsmentioning

confidence: 99%

Using a Simple Expert System to Assist a Powered Wheelchair User

Sanders

Okono

Langner³

et al. 2019

Advances in Intelligent Systems and Computing

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“…Smart wheelchairs usually use sonar, infrared sensors, etc., to detect obstacles in the surrounding environment for enhancing safety and supporting autonomous navigation [1]. Some researchers employ computer vision techniques to visually detect obstacles or landmarks to assist in navigation [5].…”

Section: A Smart Wheelchairsmentioning

confidence: 99%

Smarter wheelchairs who can talk to each other: An integrated and collaborative approach

Kong

Cao

Liu

et al. 2012

2012 IEEE 14th International Conference on E-Health Networking, Applications and Services (Healthcom)

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Abstract-Pervasive computing technologies can benefit the injured, disabled or elderly people in their daily lives, and smart wheelchair has been a representative of this kind of technologies. However, most existing smart wheelchairs have limitations on extensibility and flexibility of building new functionalities. One big reason is they are just stand-alone ones considering other wheelchairs and surrounding things as dummy objects. To address this issue, we proposed an integrated and collaborative approach: Smarter Wheelchairs that can "talk" to each other, and even "talk" to other things in the surrounding. Smarter Wheelchairs take advantages of smart objects deployed in living environment or hospital environment. Smarter Wheelchairs can harness functions provided by smart objects, therefore, their functionality can be flexibly extended. We have implemented and evaluated a prototype system of Smarter Wheelchairs to demonstrate the feasibility and efficiency of our approach.

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“…Satoh and Sakaue (Satoh and Sakaue, 2007) presented an omni-directional stereo vision-based IW which detects both the potential hazards in a moving environment and the postures and gestures of a user, using a stereo omni-directional system, which is capable of acquiring omni-directional color image sequences and range data simultaneously in real time. In 2008 John Spletzer studied the performance of LIDAR based localization for docking an IW system (Spletzer et al, 2008) and in 2009 Horn and Kreutner (Horn and Kreutner, 2009) showed how the odometric, ultrasound, and vision sensors are used in a complementary way in order to locate the wheelchair in a known environment. In fact, the research on IW has suffered a lot of developments in the last few years.…”

Section: Intelligent Wheelchairsmentioning

confidence: 99%

A Methodology for Creating Intelligent Wheelchair Users’ Profiles

2012

Proceedings of the 4th International Conference on Agents and Artificial Intelligence

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Intelligent Wheelchair (IW) is a new concept aiming to allow higher autonomy to people with lower mobility such as disabled or elderly individuals. Some of the more recent IWs have a multimodal interface, enabling multiple command modes such as joystick, voice commands, head movements, or even facial expressions. In these IW it may be very useful to provide the user with the best way of driving it through an adaptive interface. This paper describes the foundations for creating a simple methodology for extracting user profiles, which can be used to adequately select the best IW command mode for each user. The methodology is based on an interactive wizard composed by a flexible set of simple tasks presented to the user, and a method for extracting and analyzing the user's execution of those tasks. The results achieved showed that it is possible to extract simple user profiles, using the proposed method. Thus, the approach may be further used to extract more complete user profiles, just by extending the set of tasks used, enabling the adaptation of the IW interface to each user's characteristics.

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Smart wheelchair perception using odometry, ultrasound sensors, and camera

Cited by 27 publications

References 22 publications

Using a Simple Expert System to Assist a Powered Wheelchair User

Using a Simple Expert System to Assist a Powered Wheelchair User

Smarter wheelchairs who can talk to each other: An integrated and collaborative approach

A Methodology for Creating Intelligent Wheelchair Users’ Profiles

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