Jeff Feng

According to our database, Jeff Feng authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface.

Alexander Craik, Juan José González-España, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sánchez Rodríguez, Jeff Feng, Gerard E. Francisco, José L. Contreras-Vidal

Sensors, July, 2023

Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems.

Juan José González-España, Lianne Sánchez Rodríguez, Alexander Craik, Sarah Wong, Jeff Feng, José Luis Contreras-Vidal

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2021

Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics.

Niell Gorman, Antoinette Louw, Alexander Craik, Jose Gonzalez, Jeff Feng, José Luis Contreras-Vidal

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021

Enhancing Prosthetic Hand Functionality with Elastic 3D-Printed Thermoplastic Polyurethane.

Niell Gorman, Jeff Feng, Sirley Yamile Marin Pareja

Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2021

Establishing a Relationship Between VOMS Performance and Changes in EEG Signatures for a Rapid Assessment and Diagnosis of Concussions.

Tristan Bennett, Jeff Feng

Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2021

2020

High Fidelity and Objectivity in Balance Assessment - A Comparative Study of the 6-Degree Motion Tracking for Body Balance Assessment to the Conventional Paper Test.

Antoinette Louw, Pei-Fen Chang, Jeff Feng

Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2020

A Way of Motivating Patient in Rehabilitation - Case Study of a Motion Tracking Wearable Device.

Jeff Feng, Rajeshree Jaiswal

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2020

2019

Bighead: A Framework-Agnostic, End-to-End Machine Learning Platform.

Eli Brumbaugh, Atul Kale, Alfredo Luque, Bahador Nooraei, John Park, Krishna Puttaswamy, Kyle Schiller, Evgeny Shapiro, Conglei Shi, Aaron Siegel, Nikhil Simha, Mani Bhushan, Marie Sbrocca, Shi-Jing Yao, Patrick Yoon, Varant Zanoyan, Xiao-Han T. Zeng, Qiang Zhu, Andrew Cheong, Michelle Gu-Qian Du, Jeff Feng, Nick Handel, Andrew Hoh, Jack Hone, Brad Hunter

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Interactive Experiences in Public Spaces: A Novel Floor Display System Based on Luminous Modular Units.

Jorge D. Camba, Jeff Feng, EunSook Kwon

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018