Abstract
This chapter is the dedicated to the description of the experimental results represented by the production and testing of three hand exoskeletons (Secciani et al in Advances in italian mechanism science. Springer International Publishing, Cham, pp 307–315, 2019 [1]; Secciani et al in Wearable robotics: challenges and trends. Springer International Publishing, Cham, pp 440–444, 2019 [2]). Each manufactured prototype aimed to validate a specific part of the work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
References
Secciani N, Bianchi M, Meschini A, Ridolfi A, Volpe Y, Governi L, Allotta B (2019) Assistive hand exoskeletons: the prototypes evolution at the university of florence. In: Carbone G, Gasparetto A (eds) Advances in italian mechanism science. Springer International Publishing, Cham, pp 307–315
Secciani N, Bianchi M, Ridolfi A, Vannetti F, Allotta B (2019) Assessment of a hand exoskeleton control strategy based on user’s intentions classification starting from surface emg signals. In: Carrozza MC, Micera S, Pons JL (eds) Wearable robotics: challenges and trends. Springer International Publishing, Cham, pp 440–444
Bianchi M, Fanelli F, Conti R, Governi L, Meli E, Ridolfi A, Rindi A, Vannetti F, Allotta B (2017) Design and motion analysis of a wearable and portable hand exoskeleton. In: González-Vargas J, Ibáñez J, Contreras-Vidal JL, van der Kooij H, Pons JL (eds) Wearable robotics: challenges and trends. Springer International Publishing, Cham, pp 373–377
Byrd RH, Gilbert JC, Nocedal J (2000) A trust region method based on interior point techniques for nonlinear programming. Math Program 89(1):149–185. [Online]. https://doi.org/10.1007/PL00011391
Conti R, Meli E, Ridolfi A, Bianchi M, Governi L, Volpe Y, Allotta B (2017) Kinematic synthesis and testing of a new portable hand exoskeleton. Meccanica
Lobo-Prat J, Kooren PN, Stienen AH, Herder JL, Koopman BF, Veltink PH (2014) Non-invasive control interfaces for intention detection in active movement-assistive devices. J NeuroEngineering Rehabil 11(1):168. [Online]. https://doi.org/10.1186/1743-0003-11-168
Adewuyi AA, Hargrove LJ, Kuiken TA (2016) Evaluating emg feature and classifier selection for application to partial-hand prosthesis control. Front Neurorobotics 10:15. [Online]. https://www.frontiersin.org/article/10.3389/fnbot.2016.00015
Bianchi M, Buetzer T, Fanelli F, Secciani N, Ridolfi A, Lambercy O, Vannetti F, Allotta B (2016) Development of an EMG triggered hand exoskeleton for assistive and rehabilitation purposes. In: Proceedings of the 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS 2016), Oct 2016
Li X, Chen S, Zhang H, Samuel OW, Wang H, Fang P, Zhang X, Li G (2016) Towards reducing the impacts of unwanted movements on identification of motion intentions. J Electromyogr Kinesiol 28:90–98. [Online]. http://www.sciencedirect.com/science/article/pii/S1050641116300189
Hudgins B, Parker P, Scott RN (1993) A new strategy for multifunction myoelectric control. IEEE Trans Biomed Eng 40(1):82–94
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bianchi, M. (2020). ABS Hand Exoskeleton Prototypes: Experimental Results. In: Development and Testing of Hand Exoskeletons. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-37685-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-37685-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37684-0
Online ISBN: 978-3-030-37685-7
eBook Packages: EngineeringEngineering (R0)