7 Result(s)
within
Andrew Hamilton-Wright
-
Article
Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation
This work presents machine learning-based techniques for detecting mind-wandering and predicting hazard response time in driving using only easily measurable driving performance data (speed, horizontal and fro...
-
Chapter and Conference Paper
Postural Deviation Gestures Distinguish Perceived Pain and Fatigue Particularly in Frontal Plane
Office workers frequently report discomfort in the neck, back and shoulders. Extreme and prolonged static postures are known risk factors. Sit-stand workstations encourage regular postural changes and tend to ...
-
Chapter and Conference Paper
Input Value Skewness and Class Label Confusion in the NEFCLASS Neuro-Fuzzy System
Nefclass is a common example of the construction of a neuro-fuzzy system. The popular Nefclass classifier exhibits surprising behaviour when the feature values of the training and testing data sets exhibit signif...
-
Article
Validating motor unit firing patterns extracted by EMG signal decomposition
Motor unit (MU) firing pattern information can be used clinically or for physiological investigation. It can also be used to enhance and validate electromyographic (EMG) signal decomposition. However, in all i...
-
Article
Open AccessAssessing motor deficits in compressive neuropathy using quantitative electromyography
Studying the changes that occur in motor unit potential trains (MUPTs) may provide insight into the extent of motor unit loss and neural re-organization resulting from nerve compression injury. The purpose of ...
-
Article
Open AccessBayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography
Methods for the calculation and application of quantitative electromyographic (EMG) statistics for the characterization of EMG data detected from forearm muscles of individuals with and without pain associated...
-
Chapter
Statistically Based Pattern Discovery Techniques for Biological Data Analysis
A statistically based pattern discovery tool is presented that produces a rule-based description of complex data through the set of its statistically significant associations. The rules resulting from this ana...
