Elmer K. Kim
Papers
1
Total Citations
30
H-Index
1
About
Elmer K. Kim is a leading researcher in neural engineering and tactile sensory systems, with a focus on developing biomimetic interfaces for next-generation prosthetics. His work bridges computational neuroscience and materials science to restore sensory feedback in artificial limbs. Kim’s most cited paper, “Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli” (2012, 30 citations), introduced a groundbreaking approach that integrates a force sensor within simulated skin with a neural model that replicates the spiking patterns of slowly adapting type I (SAI) afferents. This work demonstrated how to faithfully encode compressive stimuli into action potential trains, directly mimicking natural mechanoreceptor responses. By addressing the critical challenge of sensory feedback in prosthetics, Kim’s contributions have laid essential groundwork for creating limbs that feel. His research is highly regarded for its interdisciplinary rigor, combining experimental sensor design with computational modeling to advance neural interfaces. With over 30 citations on this pivotal paper alone, Kim continues to influence the field of haptic feedback and neuroprosthetics, inspiring students and researchers to explore the frontier of sensory restoration.
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Top Papers
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