Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Heo, Pilwon
Gu, Gwang Min
Lee, Soo-jin
Rhee, Kyehan
and
Kim, Jung
2012.
Current hand exoskeleton technologies for rehabilitation and assistive engineering.
International Journal of Precision Engineering and Manufacturing,
Vol. 13,
Issue. 5,
p.
807.
Li, Nan
Yang, Dapeng
Jiang, Li
Liu, Hong
and
Cai, Hegao
2012.
Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map.
Journal of Bionic Engineering,
Vol. 9,
Issue. 1,
p.
39.
Yungher, Don
and
Craelius, William
2012.
Improving fine motor function after brain injury using gesture recognition biofeedback.
Disability and Rehabilitation: Assistive Technology,
Vol. 7,
Issue. 6,
p.
464.
Castellini, Claudio
and
Ravindra, Vikram
2014.
A wearable low-cost device based upon Force-Sensing Resistors to detect single-finger forces.
p.
199.
Castellini, Claudio
Artemiadis, Panagiotis
Wininger, Michael
Ajoudani, Arash
Alimusaj, Merkur
Bicchi, Antonio
Caputo, Barbara
Craelius, William
Dosen, Strahinja
Englehart, Kevin
Farina, Dario
Gijsberts, Arjan
Godfrey, Sasha B.
Hargrove, Levi
Ison, Mark
Kuiken, Todd
Marković, Marko
Pilarski, Patrick M.
Rupp, Rüdiger
and
Scheme, Erik
2014.
Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.
Frontiers in Neurorobotics,
Vol. 8,
Issue. ,
Ravindra, Vikram
and
Castellini, Claudio
2014.
A Comparative Analysis of Three Non-Invasive Human-Machine Interfaces for the Disabled.
Frontiers in Neurorobotics,
Vol. 8,
Issue. ,
Li, Nan
Wei, Shourong
Wei, Minfeng
Liu, Bo
Huo, Hong
and
Jiang, Li
2014.
Hand motion recognition based on pressure distribution maps and LS-SVM.
p.
1027.
Wininger, Michael
and
Crane, Barbara
2014.
Effect of interpolation on parameters extracted from seating interface pressure arrays.
Journal of Rehabilitation Research and Development,
Vol. 51,
Issue. 9,
p.
1365.
Nissler, Christian
Mouriki, Nikoleta
Castellini, Claudio
Belagiannis, Vasileios
and
Navab, Nassir
2015.
OMG: Introducing optical myography as a new human machine interface for hand amputees.
p.
937.
Sanford, Joe
Yetkin, Oguz
Cremer, Sven
and
Popa, Dan O.
2015.
A novel EMG-free prosthetic interface system using intra-socket force measurement and pinch gestures.
p.
1.
Connan, Mathilde
Ruiz Ramírez, Eduardo
Vodermayer, Bernhard
and
Castellini, Claudio
2016.
Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol.
Frontiers in Neurorobotics,
Vol. 10,
Issue. ,
Kadkhodayan, Anita
Jiang, Xianta
and
Menon, Carlo
2016.
Continuous Prediction of Finger Movements Using Force Myography.
Journal of Medical and Biological Engineering,
Vol. 36,
Issue. 4,
p.
594.
Li, Xiangxin
Zhuo, Qifang
Zhang, Xu
Samuel, Oluwarotimi Williams
Xia, Zeyang
Zhang, Xiaoqing
Fang, Peng
and
Li, Guanglin
2016.
FMG-based body motion registration using piezoelectret sensors.
p.
4626.
Radmand, Ashkan
Scheme, Erik
and
Englehart, Kevin
2016.
High-density force myography: A possible alternative for upper-limb prosthetic control.
Journal of Rehabilitation Research and Development,
Vol. 53,
Issue. 4,
p.
443.
Cho, Erina
Chen, Richard
Merhi, Lukas-Karim
Xiao, Zhen
Pousett, Brittany
and
Menon, Carlo
2016.
Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study.
Frontiers in Bioengineering and Biotechnology,
Vol. 4,
Issue. ,
Nissler, Christian
Mouriki, Nikoleta
and
Castellini, Claudio
2016.
Optical Myography: Detecting Finger Movements by Looking at the Forearm.
Frontiers in Neurorobotics,
Vol. 10,
Issue. ,
Chengani, Ra'na
Delva, Mona L.
Sakr, Maram
and
Menon, Carlo
2016.
Pilot study on strategies in sensor placement for robust hand/wrist gesture classification based on movement related changes in forearm volume.
p.
46.
Sakr, Maram
and
Menon, Carlo
2017.
Study on the force myography sensors placement for robust hand force estimation.
p.
1387.
Xiao, Zhen Gang
and
Menon, Carlo
2017.
Performance of forearm FMG and sEMG for estimating elbow, forearm and wrist positions.
Journal of Bionic Engineering,
Vol. 14,
Issue. 2,
p.
284.
Ghataurah, Jeetinder
Ferigo, Diego
Merhi, Lukas-Karim
Pousett, Brittany
and
Menon, Carlo
2017.
Bioinformatics and Biomedical Engineering.
Vol. 10208,
Issue. ,
p.
74.