Jennifer Macievich
Papers
1
Total Citations
12
H-Index
1
About
Jennifer Macievich’s research sits at the intersection of rehabilitation engineering and human-robot interaction, with a focused commitment to improving mobility for individuals with neurological impairments. Her most cited work, “A Vibrotactile Feedback Device for Balance Rehabilitation in the EksoGT™ Robotic Exoskeleton” (2018), exemplifies her major contribution: integrating sensory feedback systems into clinical robotic platforms to enhance gait re-training. By developing a vibrotactile device that communicates balance cues directly to the user, Macievich addressed a critical gap in exoskeleton-assisted therapy—how to restore proprioceptive awareness when natural feedback is compromised. This innovation, while early in its citation impact (12 citations), has laid groundwork for more intuitive, closed-loop control in rehabilitation robotics. Her research is notable for its direct translation from lab to clinic, working with the EksoGT™ system already deployed in physical therapy settings. Macievich’s work demonstrates how targeted sensory augmentation can make robotic exoskeletons not just walking aids, but active partners in neural recovery—a vision that continues to influence the design of patient-responsive assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1