Jihyeon Ha

About

Jihyeon Ha is a researcher specializing in brain-computer interface (BCI) technologies, with a particular focus on improving accessibility and real-world applicability for individuals with disabilities and the elderly. Her work spans motor imagery-based BCIs, hybrid BCI systems, and assistive robotics, placing her at the intersection of neurotechnology and human-centered design. Ha's most significant contributions address two persistent challenges in the field: the notoriously poor performance of motor imagery BCIs and the impracticality of laboratory-grade systems in everyday settings. Her 2021 study on sensory stimulation training to improve MI-BCI performance for poorly performing users garnered 36 citations, establishing her as a meaningful voice in tackling the "BCI illiteracy" problem. Simultaneously, her development of hybrid BCI systems for meal-assist robot control — combining EEG signals with complementary modalities such as pupillary light reflex — demonstrates a pragmatic drive to translate research into functional assistive devices. Her more recent 2025 work advancing dry-type EEG-based hybrid BCIs signals a continued commitment to making these technologies more practical and user-friendly outside clinical environments. Collectively, Ha's research reflects a coherent mission: bridging the gap between neuroscientific possibility and meaningful independence for vulnerable populations.

Research Focus

Key Achievements

Top Papers

1. 1
   Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users

   36 citations · 2021
2. 2
   A Hybrid Brain–Computer Interface for Real-Life Meal-Assist Robot Control

   26 citations · 2021
3. 3
   Hybrid BCI for Meal-Assist Robot Using Dry-Type EEG and Pupillary Light Reflex

   5 citations · 2025
4. 4
   A brain—computer interface-based meal—assist robot control system

   5 citations · 2021

Key Collaborators

Contact & Links