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2020 – today
- 2023
[c6]Mohammad Shams, Daniel K. Zondervan, Quentin A. Sanders:
Classification of User Adherence to Home Hand Rehabilitation Technology Using a Feed-Forward Artificial Neural Network. BHI 2023: 1-4- [c5]Quentin A. Sanders, Daniel K. Zondervan:
Understanding Characteristics of User Adherence to Optimize the Use of Home Hand Rehabilitation Technology. ICORR 2023: 1-6
2010 – 2019
- 2017
- [c4]Yasemin Sarigul-Klijn, Joan Lobo-Prat
, Brendan W. Smith, Sage Thayer, Daniel Zondervan, Vicky Chan, Oliver Stoller, David J. Reinkensmeyer:
There is plenty of room for motor learning at the bottom of the Fugl-Meyer: Acquisition of a novel bimanual wheelchair skill after chronic stroke using an unmasking technology. ICORR 2017: 50-55 - 2014
- [c3]Brendan W. Smith, Daniel K. Zondervan, Thomas J. Lord, Vicky Chan, David J. Reinkensmeyer:
Feasibility of a bimanual, lever-driven wheelchair for people with severe arm impairment after stroke. EMBC 2014: 5292-5295 - 2013
- [c2]Daniel K. Zondervan, Brendan W. Smith, David J. Reinkensmeyer:
Lever-actuated resonance assistance (LARA): A wheelchair-based method for upper extremity therapy and overground ambulation for people with severe arm impairment. ICORR 2013: 1-6 - 2012
- [c1]Riccardo Secoli, Daniel Zondervan, David J. Reinkensmeyer:
Using a Smart Wheelchair as a Gaming Device for Floor-Projected Games: A Mixed-Reality Environment for Training Powered-Wheelchair Driving Skills. MMVR 2012: 450-456
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