Mei Ping Lee
Papers
1
Total Citations
45
H-Index
1
About
Mei Ping Lee is a leading researcher at the intersection of social robotics and gerontechnology, whose work focuses on enhancing the quality of life for cognitively impaired elderly individuals through human-robot interaction. Her most cited study, "Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods" (2021, 45 citations), pioneered the use of computer vision to measure and enhance engagement between humanoid robots and older adults with dementia. This work demonstrated that social robots can provide timely, adaptive stimuli that keep elderly individuals active and socially connected, offering a non-pharmacological intervention for cognitive decline. Lee’s contributions have been instrumental in bridging assistive robotics with real-world care settings, showing how robots can serve as companions and cognitive stimulators in homes and care centers. Her research has garnered attention for its practical applications in aging societies, and she continues to advance the field by integrating sensor-based feedback loops into robotic systems. For students and researchers, Lee’s work exemplifies how engineering and healthcare can converge to address pressing demographic challenges.
Research Focus
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Top Papers
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