181 citations · 750 across the 39 of their papers we have counts for
39 papers
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
Rongrong Liu, John M. Wandeto, Florent Nageotte +3
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control. Grip forces were recorded from va…
Grip force as a functional window to somatosensory cognition
Birgitta Dresp-Langley
Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into…
From Biological Synapses to Intelligent Robots
Birgitta Dresp-Langley
This review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is…
Consciousness beyond neural fields: expanding the possibilities of what has not yet happened
Birgitta Dresp-Langley
In the field theories in physics, any particular region of the presumed space-time continuum and all interactions between elementary objects therein can be objectively measured and…
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,…
Combining visual contrast information with sound can produce faster decisions
Birgitta Dresp-Langley, Marie Monfouga
Pierons and Chocholles seminal psychophysical work predicts that human response time to information relative to visual contrast and sound frequency decreases when contrast intensit…
Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system
Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne +1
Wearable sensor systems with transmitting capabilities are currently employed for the biometric screening of exercise activities and other performance data. Such technology is gene…
Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements
Michel de Mathelin, Florent Nageotte, Philippe Zanne +1
STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a new robotic system for application to intraluminal surgical procedures. Preclinical testing of STRAS has rece…
Seven properties of self-organization in the human brain
Birgitta Dresp-Langley
The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in v…
Wearable Sensors for Individual Grip Force Profiling
Birgitta Dresp-Langley
Biosensors and wearable sensor systems with transmitting capabilities are currently developed and used for the monitoring of health data, exercise activities, and other performance…
Color for the perceptual organization of the pictorial plane: Victor Vasarely's legacy to Gestalt Psychology
Birgitta Dresp-Langley, Adam Reeves
Victor Vasarely (1906-1997)and his important legacy to the study of human perception are brought to the forefront and discussed. A large part of his impressive work conveys the app…
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data
Birgitta Dresp-Langley, John M. Wandeto
Cellular and molecular imaging techniques and models have been developed to characterize single stages of viral proliferation after focal infection of cells in vitro. The fast and…
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns
John M Wandeto, Birgitta Dresp-Langley
The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation…
Children's health in the digital age
Birgitta Dresp-Langley
Environmental studies, metabolic research, and state of the art in neurobiology point towards the reduced amount of natural day and sunlight exposure of the developing childs organ…
Artificial Intelligence, connected products, virtual reality: potential impacts on consumer safety in terms of their physical and psychological ability or well-being
Birgitta Dresp-Langley
With the progressive digitalisation of a majority of services to communities and individuals, humankind is facing new challenges. While energy sources are rapidly dwindling and rig…
Correlated Effects of Relative Size and Depth in the Perceptual Organization of Multiple Figure-Ground Configurations
Birgitta Dresp-Langley, Adam Reeves
The neural networks of the human visual brain derive representations of three-dimensional structure from specific two-dimensional image cues. Neural models backed by psychophysical…
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection
John Wandeto, Henry Nyongesa, Yves Remond +1
Radiologists use time series of medical images to monitor the progression of a patient condition. They compare information gleaned from sequences of images to gain insight on progr…
Bilateral symmetry strengthens the perceptual salience of figure against ground
Birgitta Dresp-Langley
Although symmetry has been discussed in terms of a major law of perceptual organization since the early conceptual efforts of the Gestalt school (Wertheimer, Metzger, Koffka and ot…
Towards expert-based speed-precision control in early simulator training for novice surgeons
Birgitta Dresp-Langley
Simulator training for image guided surgical interventions would benefit from intelligent systems that detect the evolution of task performance, and take control of individual spee…