Cristian Camardella

Orcid: 0000-0002-3856-5731

According to our database1, Cristian Camardella authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

Evaluating Efficacy of Continuous Assistance Control During Orientation Tasks with an Active Wrist Exoskeleton.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022
Designing multi-purpose devices to enhance users' perception of haptics.
J. Multimodal User Interfaces, 2022

Introducing wearable haptics for rendering velocity feedback in VR serious games for neuro-rehabilitation of children.
Frontiers Virtual Real., 2022

A Random Tree Forest decision support system to personalize upper extremity robot-assisted rehabilitation in stroke: a pilot study.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

EXOSMOOTH: Test of Innovative EXOskeleton Control for SMOOTH Assistance, With and Without Ankle Actuation.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Wearable Haptics in a Modern VR Rehabilitation System: Design Comparison for Usability and Engagement.
Proceedings of the Haptics: Science, Technology, Applications, 2022

2021
Gait Phases Blended Control for Enhancing Transparency on Lower-Limb Exoskeletons.
IEEE Robotics Autom. Lett., 2021

Towards online myoelectric control based on muscle synergies-to-force mapping for robotic applications.
Neurocomputing, 2021

How Many Muscles? Optimal Muscles Set Search for Optimizing Myocontrol Performance.
Frontiers Comput. Neurosci., 2021

Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton.
Proceedings of the 18th International Conference on Informatics in Control, 2021

2020
Task-Oriented Muscle Synergy Extraction Using An Autoencoder-Based Neural Model.
Inf., 2020

Investigating muscle synergies changes after rehabilitation robotics training on stroke survivors: a pilot study<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
An undercomplete autoencoder to extract muscle synergies for motor intention detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Evaluating Generalization Capability of Bio-inspired Models for a Myoelectric Control: A Pilot Study.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019


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