The Bionic Clicker Mark I & II

In this manuscript, we present two 'Bionic Clicker' systems, the first designed to demonstrate electromyography (EMG) based control systems for educational purposes and the second for research purposes. EMG based control systems pick up electrical signals generated by muscle activation and use these as inputs for controllers. EMG controllers are widely used in prosthetics to control limbs. The Mark I (MK I) clicker allows the wearer to change the slide of a presentation by raising their index finger. It is built around a microcontroller and a bio-signals shield. It generated a lot of interest from both the public and research community. The Mark II (MK II) device presented here was designed to be a cheaper, sleeker, and more customizable system that can be easily modified and directly transmit EMG data. It is built using a wireless capable microcontroller and a muscle sensor.

[1]  Kalaivani Chellappan,et al.  Emergency clinic multi-sensor continuous monitoring prototype using e-Health platform , 2014, 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).

[2]  Kostas J. Kyriakopoulos,et al.  Open-source, low-cost, compliant, modular, underactuated fingers: Towards affordable prostheses for partial hand amputations , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  Kostas J. Kyriakopoulos,et al.  Open-source, anthropomorphic, underactuated robot hands with a selectively lockable differential mechanism: Towards affordable prostheses , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[4]  Silvestro Micera,et al.  On the Shared Control of an EMG-Controlled Prosthetic Hand: Analysis of User–Prosthesis Interaction , 2008, IEEE Transactions on Robotics.

[5]  N.V. Thakor,et al.  Towards the Control of Individual Fingers of a Prosthetic Hand Using Surface EMG Signals , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Kostas J. Kyriakopoulos,et al.  Open-source, affordable, modular, light-weight, underactuated robot hands , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Mati Pääsuke,et al.  Overview of Contemporary Low-cost sEMG Hardware for Applications in Human Factors and Ergonomics , 2016 .

[8]  Silvestro Micera,et al.  A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems , 2005, Journal of the peripheral nervous system : JPNS.

[9]  Dapeng Yang,et al.  An anthropomorphic robot hand developed based on underactuated mechanism and controlled by EMG signals , 2009 .

[10]  Shin-Ki Kim,et al.  A Supervised Feature-Projection-Based Real-Time EMG Pattern Recognition for Multifunction Myoelectric Hand Control , 2007, IEEE/ASME Transactions on Mechatronics.

[11]  Patrick van der Smagt,et al.  Learning EMG control of a robotic hand: towards active prostheses , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[12]  M. Motskin,et al.  Engaging the Public with Your Research. , 2016, Trends in immunology.