“…Systems can be split into either passive (paint or reflective markers used, or markerless systems) or active (devices which require power whether that be by battery or via cable to a power supply). Motion capture is a common type of passive system used to examine the upper body or hand/finger movement of the performer: examples of these are depth camera tracking using the Kinect system (Hadjakos, 2012); image motion capture with paint markers (MacRitchie & Bailey, 2013); infrared motion capture using reflective markers attached to the skin or body (Dalla Bella & Palmer, 2006, 2011; Ferrario, Macri, Biffi, Pollice & Sforza, 2007; Furuya, Goda, Katayose, Miwa & Nagata, 2011; Goebl & Palmer, 2008, 2013; Sakai, Liu, Su, Bishop & An, 2006). Active devices can be categorised into two groups: the first which are generally attached to the performer (LED position sensors - Furuya & Kinoshita, 2007; accelerometers - Hadjakos, Aitenbichler & Mühlhäuser, 2008; Rahman, Mitobe, Suzuki, Takano & Yoshimura, 2011; Grosshauser, Tessendorf, Tröster, Hildebrandt & Candia, 2012; data glove - Furuya, Flanders & Soechting, 2011; Furuya & Soechting, 2012; electrogonimoters - Chung, Ryu, Ohnishi, Rowen & Headrich, 1992), the second which are attached to, or form part of, the instrument in order to measure the tangible results of such touch techniques (key-angle - McPherson & Kim, 2011; Bernays & Traube, 2012; location of finger-key contact - Moog & Rhea, 1990; McPherson, 2012; force transducers - Parlitz, Peschel & Altenmüller, 1998; Kinoshita, Furuya, Aoki & Altenmüller, 2007; force and torque sensors - Grosshauser, Tessendorf, Tröster, Hildebrandt & Candia, 2012).…”