Abstract
In this chapter we wrap up our literature investigation, pointing out the key focuses and requirements to be considered. We will go through our evaluations upon actuators, sensors, control systems and we will present some designs examples. Although literature is rich in studies on limbs exoskeletons aimed to several target applications, (such as rehabilitation, function restoring and virtual reality), the stringent requisites of EVA make most of the actuation and sensing solutions unsuitable for our device. Safety reasons and pressurization of the space suit force to avoid modern actuation technologies (i.e. air muscles), and focus on traditional motors such as piezoelectric ones. For what concerns sensors and control systems, most of the currently developed exoskeletons use physiological signals and are based on Electroencefalography (EEG) and on Electromyograpy (EMG). In the latter case, a big advantage is due to the fact that input signals are picked up directly from the motor units involved in the hand control. In the next pages we also present several examples of exoskeletons, including a pinching device for rehabilitation based on a cable mechanism, one finger device based on pulleys-lever structure, the four bar mechanism, a tendon system glove for function restoring and the EVA K-Glove from NASA. Finally, a couple of examples of feedback devices for medical applications are presented, integrating a variety of sensors, such as accelerometers, ultrasound, flow, pressure and vibration sensors, heat infrared camera, gyroscopes.
Chapter written with the contribution of Federico Radici (Politecnico of Milano).
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Ball T, Kern M, Mutschler I, Aertsen A, Schulze-Bonhage A (2009) Signal quality of simultaneously recorded invasive and non-invasive EEG. NeuroImage, 46(3)
Bioservo (2006) http://www.bioservo.com. Accessed 29 August 2012
Boulenger V, Silber B, Roy A, Paulignan Y, Jeannerod M, Nazir T (2008) Subliminal display of action words interferes with motor planning: a combined EEG and kinematic study. J Physiol Paris 102:130–136
Damir B (2012) Human grasp assist device provides additional grip force. Tratto da http://www.robaid.com. Accessed 15 Mar 2012
Dean B, Flores D (2012) NASA, GM jointly developing robotic gloves for human use. Tratto da http://www.nasa.gov. Accessed 13 Mar 2012
Emotiv (n.d.) http://www.emotiv.com. Accessed 1 Jan 2012
Fang H, Xie Z, Liu H (2009) An exoskeleton for controlling DLR/HIT hand. Conference on intelligent robots and systems
Favetto A, Fai Chen Chen AE, Manfredi D, Calafiore G (2010) Towards a hand exoskeleton for a smart EVA glove. IEEE international conference on robotics and biomimetics (ROBIO)
Friesen G, Jannett T, Jadallah M, Yates S, Quint S, Nagle H (1990) A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Trans Biomed Eng 37:85–98
Henderson D (2007) Novel piezo motors enable positive displacement microfluidic pump. New Scale Technologies, US
Hochberg LR, Bacher D, Jarosiewicz B, Masse N, Simeral J, Vogel J et al (2012) Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485:372–375
Lenny Lucas DiCicco M, Matsuoka Y (2004) An EMG-controlled hand exoskeleton for natural pinching. J Robot Mech 16:482–488
MedSensation (2012) Tratto da http://www.medsensation.com
New Scale Technologies I (n.d.) SQUIGGLE micro motor technology. http://www.newscaletech.com. Accessed 2012
Northwestern (n.d.) http://www.nothwestern.edu. http://www.northwestern.edu/newscenter/stories/2011/08/tattoo-electronics-huang.html. Accesssed 20 Oct 2012
Porro C, Francescato M, Cettolo V, Diamond M, Baraldi P, Zuiani C et al (1996) Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. J Neurosci 16(23):7688–7698
QuadSquad (2012) http://enabletalk.com/abstract.html. Accessed 15 Sept 2012
Velliste M, Perel S, Spalding M, Whitford A, Schwartz A (2008) Cortical control of a prosthetic arm for self-feeding. Nature 453(7198):1098–1101
Vuskovic M, Li X (1996) Blind separation of surface EMG signals. Conference of the IEEE Engineering in Medicine and Biology Society
Wege A, Günter H (2005) Development and control of a hand exoskeleton for rehabilitation of hand injuries. Technische Universität Berlin, Berlin
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Freni, P., Botta, E.M., Randazzo, L., Ariano, P. (2014). State of the Art. In: Innovative Hand Exoskeleton Design for Extravehicular Activities in Space. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-03958-9_3
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