181 citations · 750 across the 39 of their papers we have counts for
6 papers · 1 filter
Making Sense of Complex Sensor Data Streams
Rongrong Liu, Birgitta Dresp-Langley
This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non dominant…
Surgical task expertise detected by a self-organizing neural network map
Birgitta Dresp-Langley, Rongrong Liu, John M. Wandeto
Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchm…
Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map
Birgitta Dresp-Langley, John M. Wandeto
Symmetry in biological and physical systems is a product of self organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry based feature extr…
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has…
From hand to brain and back: Grip forces deliver insight into the functional plasticity of somatosensory processes
Birgitta Dresp-Langley
The human somatosensory cortex is intimately linked to other central brain functions such as vision, audition, mechanoreception, and motor planning and control. These links are est…
Wearable Sensors for Spatio-Temporal Grip Force Profiling
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature,…