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Mark M. Iskarous
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2020 – today
- 2023
- [c9]Zan Chaudhry, Fangjie Li, Mark M. Iskarous, Nitish V. Thakor:
An Automated Tactile Stimulator Apparatus for Neuromorphic Tactile Sensing. NER 2023: 1-4 - 2022
- [c8]Yucheng Tian, Ariel Slepyan, Mark M. Iskarous, Sriramana Sankar
, Christopher L. Hunt, Nitish V. Thakor:
Real-Time, Dynamic Sensory Feedback Using Neuromorphic Tactile Signals and Transcutaneous Electrical Nerve Stimulation. BioCAS 2022: 399-403 - [c7]Sriramana Sankar
Flexible Multilayer Tactile Sensor on a Soft Robotic Fingertip. IEEE SENSORS 2022: 1-4 - 2021
- [c6]Mark M. Iskarous
A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback. NER 2021: 297-300
2010 – 2019
- 2019
- [j1]Mark M. Iskarous
E-Skins: Biomimetic Sensing and Encoding for Upper Limb Prostheses. Proc. IEEE 107(10): 2052-2064 (2019) - [c5]Sriramana Sankar
Texture Discrimination using a Flexible Tactile Sensor Array on a Soft Biomimetic Finger. IEEE SENSORS 2019: 1-4 - [c4]Mark Hays
Neuromorphic vision and tactile fusion for upper limb prosthesis control. NER 2019: 981-984 - 2018
- [c3]Christopher L. Hunt, Avinash Sharma, Mark M. Iskarous
Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. BioCAS 2018: 1 - [c2]Mark M. Iskarous
Unsupervised Learning and Adaptive Classification of Neuromorphic Tactile Encoding of Textures. BioCAS 2018: 1-4 - [c1]Harrison Nguyen, Luke Osborn
Dynamic Texture Decoding Using a Neuromorphic Multilayer Tactile Sensor. BioCAS 2018: 1-4
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