State of the art review
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[5] this article describes the current state of the art in 2017. So it will probably be close to the current state of the art. It describe popular input methods. At the moment there is already a method Brain-computer interface that can detect that the user is frustrated with the system. It also describes promising methods of obstacle detection such as low-tech inexpensive optical USB camera and sophisticated machine vision software. The articles also describe different operation mode like machine learning, Following, localization and mapping and, navigational assistance. The article also considers human factor in smart wheelchairs.
Route planning
To plan a route for a smart wheel chair is more involved as planning a route for a pedestrian. A pedestrian can take the stairs or get trough a narrow walk way. Both are impossible for a wheel chair. At the moment they combine accessibility maps with route planning to be able to plan a route for a wheelchair user[1]. There is also a method which calculates scores for sideway segment and uses those scores to determine the best route between two addresses in a network [2]
Navigation
[14] This paper describes an intelligent robot scooter being developed. a lot of elderly are using mobility vehicles. Intelligent mobility scooters will give their users a safer and more appealing transport option such which will allow them to be more mobile and autonomous. It is necessary to develop a scooter which uses sensors and an electronic smart interface. In this paper,they describe hardware options and the configuration of the mobility scooter; The navigation system, including the localization using grid map matching, path following, and obstacle avoidance, is implemented on the proposed scooter. they presented the results of an experiment in Tsukuba Challenge 2010 and evaluate the proposed systems. The newly developed scooter successfully and autonomously ran a 1.1 km course in a normal living environment.
[17] about how more and more elderly and disabled people are using electric scooters instead of electric wheelchairs because of higher mobility. However, people with high levels of impairment or the elderly still have difficulties in driving the electric scooters safely. Semi-autonomous electric scooter system is one of the solutions for the safety: Either manual driving or autonomous driving can be used selectively. In this paper, they implemented a semi-autonomous electric scooter system with functions of localization and path following. In order to recognize the pose of electric scooter in outdoor environments, they designed an outdoor localization system based on the extended Kalman filter using DGPS (Differential Global Positioning System) and wheel encoders. they added an accelerometer to make the localization system adaptable to road condition. Additionally, they proposed a path following algorithm using two arcs with current pose of the electric scooter and a given path in the map. Simulation results are described to show that the proposed algorithms provide the ability to drive an electric scooter semi-autonomously. Finally, they conducted outdoor experiments to reveal the practicality of the proposed system.
Obstacle avoidance
[12] This is an older article (1997) which has researched the practical use of an automated wheelchair with various sensors. The idea was to create a wheelchair which could manoeuvre itself through tightly-packed environments, by using simple control inputs from elderly or disabled people that require vocational rehabilitation.
many sensors were combined to allow for the wheelchair to "scan" its direct environment and ensure swift, precise and safe mobility. The way this project was realised was having users collaborate in every step of the process.
[14] This paper describes a intelligent robot scooter being developed. a lot of elderly are using mobility vehicles. Intelligent mobility scooters will give their users a safer and more appealing transport option such which will allow them to be more mobile and autonomous. It is necessary to develop a scooter which uses sensors and an electronic smart interface. In this paper,they describe hardware options and the configuration of the mobility scooter; The navigation system, including the localization using grid map matching, path following, and obstacle avoidance, is implemented on the proposed scooter. they presented the results of an experiment in Tsukuba Challenge 2010 and evaluate the proposed systems. The newly developed scooter successfully and autonomously ran a 1.1 km course in a normal living environment.
Pedestrian detection Large-Field-Of-View
Since the mobility scooter will be in crowed areas, such as malls, a fast method to scan for pedestrians is important. For autonomous cars the pedestrian detection can be done with a Large-Field-Of-View (LFOV) deep network, that uses machine learning to determine the location of pedestrians in an image. [21] The LFOV method divides the image in a grid of multiple images and can scan them simultaneously for pedestrians. This method is more successful because it can detect pedestrian at a speed of 280 ms per image, compared to prior methods which took seconds.
In 1999 there where already quite succesfull test with using a smart wheelchair in a trainstation during rush hour.[3]
Navigation in the dark
For driving in the dark during night time normal cameras would not work for obstacle avoidance. Infrared (IR) or thermal imaging can be a solution for this problem. Since pedestrian, cars and all motorized vehicles have a heat signature. [22] In combination with a LIDAR system to detect object that don’t have a heat signature, the scooter should be able to navigate the environment.
user taking over control
Sometimes if the autonomous system fails, it does not know how to deal with the situation. The developers of the smart wheel chair can choose to that the system informs the user that he or she needs to take over. There are different ways to notify the user to take over. There is an article [9] exploring different ways to notify an user to take over control.
This article shows results with abstract cues, such as audio and cues delivered from the tablet can help notify the driver.look up result in article and state them here
Hardware
The problem of mapping can be solved by constructing a 2D scan with a LIDAR system from a 3D environment. [18] After which it the localization can be done in the 2D mapped environment for lower processing power.[19] An example of the visual validation of localization can be seen in figure 1. The LIDAR system for the mapping and localization has to be able to scan a large area at once and has to be high on top of the mobility scooter because of this.
The more complex dynamic environment that has to be avoid pedestrians and other (smaller) moving vehicles can be done by a second LIDAR system lower to the ground.
An example of the components of the mobility scooter can be seen in figure 2. In this example two external lead-acid batteries rated at 12 V and 22 Ah each are connected in series, to form an auxiliary 24 V power supply.
(In the example used the mobility scooter is shared between multiple users, which is something we could explore too, as this may reduce the cost of being able to ride in an autonomous mobility scooter.)
[6] this article explains how IR and ultrasonic devices could be implemented on a mobility scooter and shows tests with an implemented system, how well the system responds to far, medium and short distance to obstacles.
[14] This paper describes a intelligent robot scooter being developed. a lot of elderly are using mobility vehicles. Intelligent mobility scooters will give their users a safer and more appealing transport option such which will allow them to be more mobile and autonomous. It is necessary to develop a scooter which uses sensors and an electronic smart interface. In this paper,they describe hardware options and the configuration of the mobility scooter,. The navigation system, including the localization using grid map matching, path following, and obstacle avoidance, is implemented on the proposed scooter. they presented the results of an experiment in Tsukuba Challenge 2010 and evaluate the proposed systems. The newly developed scooter successfully and autonomously ran a 1.1 km course in a normal living environment.
safety
A lot af people buy mobility scooters with consultion a medical professional [10]. So there is not a medical professional that says the usere needs one or and medical professional that says the users is able to use a mobilitye scooter. A lot of people refused to acknowledge the fact that their loss of a previous driving license might also affect their ability to safely operate a mobility scooter[10]. So there are probably useres that should not drive a mobility scooter themslefs but still do it.
Often retailers do not provide (proper) training to poeple that buy a mobility scooter[10].
There was a survey done to investigate the characteristics of scooters en powered wheelchairs[4]. This survey conclude 1 in 5 useres had an accident with their powerd wheelchar or scooter in the last year. There are users that fell of or got knocked over by their own scooters[10]
[8] this is a study done to find out the current number of incidents between 2011 and 2012. This could help us to see if our autonomous modifications will actually help solve some incidents look up conclusion ad stat here
[7] this article explores the safety of mobility scooters by a series of collision tests. look up conclusion ad stat here
why do they use them
[10]Most participants had not compared multiple brands or suppliers before their (often impulsive) purchase of a scooter, and only one individual had a medical recommendation.
Retailers did not provide proper training and many users made uninformed purchases.
[10]The main application for the scooters were shopping and attending various appointments (doctors, education, church, walking dogs, etcetera). Also, the sense of independence with regards to their friends and family meant that the scooter users all noticed their quality of life to improve when using their scooters.
[10]Most of the scooter users agree that the scooter makes it easier for them to improve their social life and eases all kinds of tasks even before an individual’s health starts declining. However, limitations do also occur. Many shopping isles support limited amounts of space to move through using scooters. The same occurs in lifts and public transport. Some participants had a hard time avoiding objects and walls, and thus stuck to a known set of locations in which they could fully operate.
Storage and charging both were considered difficult as well, mostly from a lack of space in general.
[10]The research supports existing papers regarding social improvements that mobility scooters provide.
For scooters to keep their positive influence on ageing people’s lives, they need to be customizable to individual situations and postures.
The necessary skills (physical and sensory) should not be underestimated, as this is the case right now. People are driving scooters mainly because of the inability to drive other vehicles, which is not without cause.
Another issue is the fact that most residences do not have the material available to properly store and charge multiple electric scooters for their inhabitants, which is discriminating towards their individual needs.
Research was limited to users in residencies for ageing people, which meant storing and charging was difficult and environmental support not optimal.
[11] This article contained a more extensive explanation of the same type of research that was conducted in Article 1.
The methods and conclusions match and thus this summary will be very brief.
For elderly people using mobility scooters, most test subjects experience their life-quality to increase, but are in grave need of lessons regarding the use of their scooters, as well as proper assistance in choosing the correct model to prevent future problems both physically and sensory. Also, many public places are not compatible with scooters in terms of space and obstacles.
[13]the article is about the increasing use of electric mobility-vehicles by older people in South Australia. the elderly have raised several problems with those vehicles. caretakers and urban planners are also experiencing a lot of problems. according to the users the up to date mobility-scooters have received little attention regarding research . The purpose of the study reported was the exploration of the factors that impact the elderly who are using the mobility-scooters, in particular from their perspectives. Data was collected with a survey of current electric mobility-scooter elderly users. Using two focus groups with people who were users the data was determined. The data showed that more than 71% of participants had a scooter for over two years. Most purchased the scooter new and 80 % owned a four-wheel scooter. The scooter where used for shopping, visiting friends and family, and rides for fun and pleasure. Most people used their scooters three to five times each week and travelled between two to five kilometres. The most important findings from the surveys were categorised into three major themes: ‘obtaining a scooter’, ‘the meaning of mobility’ and ‘issues around sharing spaces’. Each is exemplified. The implications for environmental and building design, for the better training of users, and for education are discussed.
[15] the goal of this article was to exploration of the individual experience of being a scooter user also finding out the way scooters impact the users mobile life and social life, daily movement and mobility.they used the following Methods: A framework using purposive sampling and a semi structured interview used with s group of individuals. Questions were categorised according to the International Classification of Functioning, Disability and Health into the three areas , participation and environmental factors. This resulted in the following: three main themes used research were knowledge, engagement and environments. the the theme Knowledge contained a lack of information and barley any training before the purchase . Engagement contained interaction displaying scooter users and resulted in increased participation and social engagement . Environments contained discrimination from the other traffic and shop users and building designs. The conclusions was : The research demonstrated a positive impact on there sociale space from using a scooter, while a lack of knowledge about scooters, batteries, skill ability and design along with environmental challenges of discriminatory attitudes and physical barriers. The research indicates the need for pre-purchase assessments and trials along with improvements in community attitudes and environments.
[16]this article is about that optimal mobility is an important element of healthy aging. Yet, older adults perceptions of mobility and mobility preservation are not well understood. The purposes of our study were to, identify studies that report older adults’ perceptions of mobility, conduct a standardized methodological quality assessment, and conduct a metasynthesis of the identified studies. They included studies with community-dwelling adults aged above 65 years, focused on perceptions of mobility pertaining to everyday functioning, used qualitative methods, and were cited in PubMed, Embase, CINAHLPlus, or Geobase databases. Study quality was appraised using the McMaster University Tool. the result they found was: Out of many studies identified, 12 met inclusion criteria. Overall quality of the studies was variable. Metasynthesis produced 3 overarching themes: mobility is part of sense of self and feeling whole, assisted mobility is fundamental to living, and adaptability is key to moving forward. what implications did their findings have : Older adults’ perceptions of mobility can inform interventions that would involve actively planning for future mobility needs and enhance the acceptance of the changes, both to the older adult and the perceived response to changes by those around them.
Recommendations
Extra research is required with regards to elderly and disabled people who use mobility scooters. More specific, their different training and information needs. Scooter resellers should also properly educate their buyers regarding their product choice.
[15] the goal of this article was to exploration of the individual experience of being a scooter user also finding out the way scooters impact the users mobile life and social life, daily movement and mobility.they used the following Methods: A framework using purposive sampling and a semi structured interview used with s group of individuals. Questions were categorised according to the International Classification of Functioning, Disability and Health into the three areas , participation and environmental factors. This resulted in the following: three main themes used research were knowledge, engagement and environments. the the theme Knowledge contained a lack of information and barley any training before the purchase . Engagement contained interaction displaying scooter users and resulted in increased participation and social engagement . Environments contained discrimination from the other traffic and shop users and building designs. The conclusions was : The research demonstrated a positive impact on there sociale space from using a scooter, while a lack of knowledge about scooters, batteries, skill ability and design along with environmental challenges of discriminatory attitudes and physical barriers. The research indicates the need for pre-purchase assessments and trials along with improvements in community attitudes and environments.
sources
[1] Holone H., Misund G. (2008) People Helping Computers Helping People: Navigation for People with Mobility Problems by Sharing Accessibility Annotations. In: Miesenberger K., Klaus J., Zagler W., Karshmer A. (eds) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer, Berlin, Heidelberg
[2] piyawan kasemsuppakorn & Hassan A. Karimi (2008) Personalised routing for wheelchair navigation
[3] e.prassle, j. scholz P. Fiorini (1999) Navigating a Robotic Wheelchair in a Railway Station during Rush Hour
[4] Kara Edwards 7 Annie Mccluskey (2010) A survey of adult power wheelchair and scooter users
[5] Jesse Leaman & Hung Manh LA (2017) a comprehensive review of smart wheelchairs: past, present and future
[6] Adrian Bingham, Xavier Hadoux &Dinesh Kant Kumar (2014) Implementation of a safety system using ir and ultrasonic devices for mobility scooter obstacle collision avoidance
[7] Hongyu Li & E.C. Chirwa (2014) Development of a mobility scooter finite element model
[8] Nancy M. Gell, Robert B. Wallace MD,Andrea Z. LaCroix ,Tracy M. Mroz, Kushang V. Patel Mobility Device Use in Older Adults and Incidence of Falls and Worry About Falling: Findings from the 2011–2012 National Health and Aging Trends Study
[9] Politis, I., Brewster, S. & Pollick, F. (2017) Using multimodal displays to signify critical handovers of control to distracted autonomous car drivers.
[10] Ryan Fomiatti, Lois Moir, Janet Richmond & Jeannine Millsteed (2014) The experience of being a motorised mobility scooter user, Disability and Rehabilitation: Assistive Technology, 9:3, 183-187, DOI: 10.3109/17483107.2013.814171
[11] Esther May, Robyne Garret & Alison Ballantyne (2010) Being mobile: electric mobility-scooters and their use by older people.
[12] Journal of Intelligent and Robotic Systems 22: 233-253, 1998.
[13]MAY, E., GARRETT, R., & BALLANTYNE, A. (2010). Being mobile: Electric mobility-scooters and their use by older people. Ageing and Society, 30(7), 1219-1237. doi:10.1017/S0144686X10000334
[14] M. Hirai, T. Tomizawa, S. Muramatsu, M. Sato, S. Kudoh and T. Suehiro, "Development of an intelligent mobility scooter," 2012 IEEE International Conference on Mechatronics and Automation, Chengdu, 2012, pp. 46-52.
[15] Fomiatti, Ryan,Moir, Lois,Richmond, Janet, Millsteed, Jeannine “The experience of being a motorised mobility scooter user” 2014/05/01
[16] R. Turner Goins, Jacqueline Jones, Marc Schure, Dori E. Rosenberg, Elizabeth A. Phelan, Sherry Dodson, Dina L. Jones; Older Adults’ Perceptions of Mobility: A Metasynthesis of Qualitative Studies, The Gerontologist, Volume 55, Issue 6, 1 December 2015, Pages 929–942
[17] Song, Ui-Kyu; Kim, Byung-Kook; “Development of a DGPS-Based Localization and Semi-Autonomous Path Following System for Electric Scooters” Institute of Control, Robotics and Systems 2011, pp.674-684
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