Human Machine Interaction
Brain computer interfaces (BCI)
A high-fidelity minimally invasive brain computer interface
This project by Elliott Magee was to design and test a BCI realistically usable for long-term human applications. It needed to have minimal infection risks and minimal invasiveness, yet a signal quality comparable to invasive BCIs. The project involved discussion with both clinicians and patients to produce a system that would be accepted amongst the medical community.
Using EEG to play a computer game
We use Electroencephalography (EEG) to control actions on a computer. This involves using code to translate brain signals into left and right movements on a mouse or cursor. Brain Computer Interfaces are important for rehabilitation engineering and could benefit patients who suffer from severe motor impairment, such as spinal cord injury.
Haptics uses touch to interact with virtual objects. It is commonly used for stroke rehabilitation and for training dentists and surgeons. Peter Snow has used Haptics to combat phantom limb pain (PLP), which is experienced by 50-80% of upper-limb amputees.
Adaptive shared control systems
Shared control systems combine automation and user control in one system. Adaptive systems adjust themselves to handle varying parameters, such as distances to obstructions. This means the system can distribute control effectively between the user and automated components depending on the situation.
More Aspire CREATE research
- Pacaux-Lemoine M-P., Habib L., Sciacca N. & Carlson T. (2020). Emulated haptic shared control for brain-computer interfaces improves human-robot cooperation. IEEE International Conference on Human-Machine Systems (ICHMS), Rome.
Pacaux-Lemoine M., Habib L. & Carlson T. (2018). Human-robot cooperation through brain-computer interaction and emulated haptic supports. 2018 IEEE International Conference on Industrial Technology (ICIT), pp. 1973-1978.
Rastegarpanah, A., Rakhodaei, H., Saadat, M., Loureiro, R.C.V., et al. (2018). Path-planning of a hybrid parallel robot using stiffness and workspace for foot rehabilitation. Advances in Mechanical Engineering. January 2018.
Snow, P.W., Sedki, I., Sinisi, M., Comley, R. & Loureiro, R.C.V. (2017). Robotic therapy for phantom limb pain in upper limb amputees. International Conference on Rehabilitation Robotics (ICORR), pp. 1019-1024.
- Zervudachi, A., Sanchez, E. & Carlson, T. (2016). Preliminary EEG characterisation of intention to stand and walk for exoskeleton applications. 3rd International Conference on Neurorehabilitation (ICNR2016).
- Wilcox, M., Rathore, A., Morgado Ramirez, D.Z., Loureiro, R. & Carlson, T. (2016). Muscular activity and physical interaction forces during lower limb exoskeleton use. Healthcare Technology Letters.
- Rathore, A., Wilcox, M., Ramirez, D.Z.M., Loureiro, R. & Carlson, T. (2016). Quantifying the human-robot interaction forces between a lower limb exoskeleton and healthy users. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, 586-589.
About Aspire CREATE
We work to improve the quality of life of people with spinal cord injuries. The Centre for Rehabilitation Engineering and Assistive Technology (Aspire CREATE) is a joint research venture between UCL, the Aspire Charity, and the Royal National Orthopaedic Hospital.
How to reach us
Royal National Orthopaedic Hospital
- Our office: Institute of Orthopaedics and Musculoskeletal Science. (Building 6, ref. 8D.)
- Our main lab: Peripheral Nerve Injury unit. (Building 37, ref. 5E.)
It can be tricky to find your way around the site. We have created a photo guide to help you find our office.