Wheelchair Obstacle Avoidance Helper (WOAH) system

Mobility is a key component of a positive quality of life
Physical disabilities in older adults require powered wheelchairs
Cognitive disabilities make use of powered wheelchairs problematic. Collisions occur due to lack of proper control
Our goal is to use partially observable Markov decision processes (POMDPs) to synthesise a mixed initiative controller for powered wheelchairs, using 3D imaging sensors as inputs.

Our system consists of the following elements, shown on the right
3D Sensors augment images of the environment with depth information, allowing the detection of obstacles in the wheelchair's path. We plan to use stereo and infrared time-of-flight sensors.
Occupancy Grid Maps are used to store the information from the 3D sensors and integrate it over time, giving a continuously updating view of the 3D structure of the environment near the wheelchair.
Planning using POMDPs will control the wheelchair by optimising some utility measure such that the human controller has maximal independence, but collisions are avoided.

see talk slides with examples, etc.

read a short paper on this

see video of the WOAH system in action!

Motivation

High quality of life is of the utmost importance and mobility is a key component of a positive quality of life. Unfortunately, many older adults face various impairments and disabilities that result in their mobility being compromised. Furthermore, many of these people lack the strength to manually propel themselves, and require powered wheelchairs. However, powered wheelchairs are not appropriate for older adults with a cognitive impairment, such as dementia or Alzheimer's disease, as they do not have the cognitive capacity required to effectively and safely manoeuvre the wheelchair. In addition, their sometimes aggressive and unpredictable behaviour makes wheelchair use unsafe for both themselves and others sharing the environment. Currently there are an estimated 15 to 18 million people worldwide who have been diagnosed with dementia with this number expected to reach 34 million by 2025 (Bates, et al., 2004).

The safe control of a powered wheelchair requires a significant skill level, attention, judgement, and appropriate behaviour. It not only requires the driver to have the ability to control the wheelchair, but also to be constantly aware of his/her surroundings in order to not crash into surrounding people, objects, and walls. There have been many reported incidents of older adults being injured as a result of a powered wheelchair being driven into them, or into their cane or walker, resulting in a fall to occur. As a result, many care institutions (e.g. hospitals, long-term care facilities, etc.) have implemented policies that restrict driving for reasons of safety, especially for residents with cognitive impairment.

Reduced mobility results in reduced quality of life. The combination of social isolation, limited life space and choice, learned dependence (e.g. requiring someone to push a manual wheelchair), frustration, and limited autonomy likely contributes to symptoms of depression and exacerbation of cognitive impairment and undesirable behaviours. It should also be noted that this chain reaction of symptoms resulting from reduced mobility are also observed in other patient groups beyond older adults (e.g. disabled children, adults with traumatic brain injury, etc.), thus broadening the scope of these problems and requirements from potential solutions. If we can provide these users with some level of independence, irrespective of ability, without placing the person or others at unreasonable risk, then it may be possible to reverse some symptoms of depression and cognitive impairment and improve quality of life. The goal of this project is the application of 3D sensor systems to adapt a powered wheelchair, specifically, the Nimble Rocket (TM) so that it can be driven safely by users with cognitive and other complex impairments. This will be accomplished through the design and development of an intelligent collision avoidance system.