Smart wheelchair
with IoT solution
Skateboarding for wheelchair users
In this article, we discuss the design of a smart WCMX wheelchair. Our WCMX wheelchair has a set of smart capabilities which can help the user learn new tricks and share completed tricks with friends.
Overview of features
Trick Detection
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The wheelchair will learn which tricks you perform and will show a list of statistics after each session.
Trick Learning
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The wheelchair will learn the user during the sessions to improve their tricks by giving tips through the light in the wheel handles.
Trick Recording
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The wheelchair can be connected to a camera that will automatically record your tricks and name them appropriately.
Fall Detection
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The wheelchair will response to the user if a fall has occurred during training by attracting nearby people's attention for help.
User Experience
Shock Sensor
The wheelchair is outfitted with 2-speed indicators on both of the sides of the wheelchair. These will light up green and forward to show you have to increase speed. And the other way around they will light up red and move backwards to tell you you have to slow down. This works independently per side so it also shows you if you need to make a turn.
Pressure sensor
Gyroscope
Accelerometer
Other Electronics
Speed Indicator
Speed sensor
App Interface
The app is complementary to the wheelchair and it shows the collected data of the wheelchair.
In the first section, you can view your high scores and statistics, this is all created from the data that is gathered by the wheelchair.
In the second section, you can view and share your recordings of tricks.
In the third section, you can see overviews of your sessions and start a new one.
In the fourth section, you can see an overview of all the tricks, the ones you still have to learn and the ones that you completed. Also, it shows a percentage that represents how well the system thinks you can do the trick.
In the final part of the app, you can see an overview of a trick. This will show the predicted chance of you doing the trick, how much per cent of the trick you did perfect and it shows what you need to improve to complete the trick.
Data Model
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Personal
Data elements
User name
Password
IP Address
Location
Health Profile (Weight, Age, Height)
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Description
The wheelchair collects basic user data in order to function. By having the weight of the user the pressure on the stair is better understood.
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Collective
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Wheelchair
The amount of time spent on each tricks
Highscores on certain locations
The range of distance
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GPS: location visited
Motion data over time
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Angular velocity
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Signal of shock or impact
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Acceleration force
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Speed value
Pressure on seat over time (weight)
Camera output (Video record & History)
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Most visited WCMX places.
GPS: Is used to tie it to a location and can help with determining speed to provide the best recommendation of tricks to the user in this court.
Motion data: It is necessary to recommend video clips and analyse by the system to predict the recommended route before next practice.
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Pressure detecting: It checks the presence of the user and detects the change of pressure point to know and predict how the user does their weight shifting.
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Camera: It is for recording the video clips and be analysed by the system for providing the recommendation and social interaction with friends.
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Phone Contacts
Contextual
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The user can build the social network in this special sports via share the video, find friends with similar predicted trick success, or offer the challenge to friends.
