Outputs (903)

Physiological data measurement in digital manufacturing (2022)
Presentation / Conference Contribution

As industry is moving towards a new digital rev-olution, identifying workers' mental and physical status is key to improved productivity in a digital manufacturing scenario. The main objective here is to provide an overview of sensing technologies in... Read More about Physiological data measurement in digital manufacturing.

Integration of computer vision in a testing facility for prosthetic joint inspection and performance assessment (2022)
Presentation / Conference Contribution

This paper presents a computer vision system within a test facility for prosthetic joint inspection and performance by analysing range of motion data. Testing with individuals rather than using a testing facility can cause issues, such as irritation,... Read More about Integration of computer vision in a testing facility for prosthetic joint inspection and performance assessment.

Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging (2022)
Presentation / Conference Contribution

The process of designing bio-inspired knee joint has been a challenging issue due to the complicated kinematics and dynamics of the human knee joint. This paper addresses this issue by presenting a design methodology that has been used to model the h... Read More about Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging.

Using mapping to explore experiences of the pandemic with 3-11 year olds (2022)
Presentation / Conference Contribution

This paper will draw on ongoing research funded by AHRC which works with 5 schools / Early Year centres in some of the most socio-economically deprived areas of Bristol. It will reflect on how we have used maps as a way of exploring children's experi... Read More about Using mapping to explore experiences of the pandemic with 3-11 year olds.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Presentation / Conference Contribution

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.

Evaluating multi-channel vibrational feedback arrays in a digit discrimination task (2022)
Presentation / Conference Contribution

In recent years manipulators and grippers have become more advanced., allowing for more nuanced interactions with the environment. In order to take advantage of the benefits that this can provide in teleoperation., methods for providing closed-loop t... Read More about Evaluating multi-channel vibrational feedback arrays in a digit discrimination task.

Vision based semantic runway segmentation from simulation with deep convolutional neural networks (2021)
Presentation / Conference Contribution

Manned flight crew rely upon optical imagery to make sense of the world and carry out high level guidance, navigation & control tasks. To advance autonomous aircraft’s capabilities and safety, programmes need to be developed that aim to achieve pilot... Read More about Vision based semantic runway segmentation from simulation with deep convolutional neural networks.

A novel curved gaussian mixture model and its application in motion skill encoding (2021)
Presentation / Conference Contribution

The purpose of this paper is to present a novel curved Gaussian Mixture Model (CGMM) and to study the application of it in motion skill encoding. Primarily, Gaussian mixture model (GMM) has been widely applied on many occasions when a probability den... Read More about A novel curved gaussian mixture model and its application in motion skill encoding.

The application of eye-tracking technology in architecture engineering and construction industry: A systematic review (2021)
Presentation / Conference Contribution

Despite the scholarly attention on eye-tracking technology in the AEC industry, no studies thus far have attempted to aggregate the findings or knowledge. To bridge this gap and to better understand the state-of-the-art of eye-tracking technology’s a... Read More about The application of eye-tracking technology in architecture engineering and construction industry: A systematic review.

Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021 (2021)
Presentation / Conference Contribution

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper limb (UL) movement... Read More about Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021.