Outputs (34)

Trusted research environments for health data (2024)
Digital Artefact

This video captures the workshop on 'Trusted Research Environments for Health Data', delivered by David Western, Felix Ritchie, and Andy Gibson. This was part of the Connect, Collaborate, Create with Data and AI 2023 event organised by UWE Bristol an... Read More about Trusted research environments for health data.

Scope and arbitration in machine learning clinical EEG classification (2023)
Presentation / Conference Contribution

A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and these windows inherit... Read More about Scope and arbitration in machine learning clinical EEG classification.

Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education (2023)
Presentation / Conference Contribution

Non-native speaking (NNS) students form an important part of the student population in the UK and many other countries’ higher education sectors. They face numerous additional challenges compared with their native speaking counterparts. Software to s... Read More about Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education.

Disability rights and robotics: Co-producing futures (2023)
Journal Article

People with lived experience of disability, family carers, students and academics in robotics and social sciences came together as co-researchers to ask: How can robotics technology support disability rights? How can co-production research be develop... Read More about Disability rights and robotics: Co-producing futures.

A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.

Role of assistive devices in rehabilitation of people with stroke (2022)
Presentation / Conference Contribution

This presentation provides an overview on role of assistive devices - Lycra Arm sleeves/accelerometers/ GripAble Gaming Device for the rehabilitation of upper limb function in people with stroke.

Of the 80% of people with stroke who lose upper-l... Read More about Role of assistive devices in rehabilitation of people with stroke.

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.

Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study (2021)
Journal Article

Introduction 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) movemen... Read More about Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study.

Safety assessment review of a dressing assistance robot (2021)
Journal Article

Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of... Read More about Safety assessment review of a dressing assistance robot.

Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots (2021)
Presentation / Conference Contribution

In this paper we apply the recent concept of robot Ethical Risk Assessment to an exemplar Socially Assistive Robot (SAR); specifically considering ethical risks posed by anthropomorphism in this context. We draw on two complimentary studies to demons... Read More about Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.

Towards an ontological framework for environmental survey hazard analysis of autonomous systems (2021)
Presentation / Conference Contribution

This paper presents current progress in the development of Environmental Survey Hazard Analysis (ESHA), a method of preliminary hazard identification aimed at autonomous system application problems. In addition to performing their design mission, aut... Read More about Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

Investigating the effectiveness of different interaction modalities for spatial human-robot interaction (2020)
Presentation / Conference Contribution

With the increasing use of social robots in real environments, one of the areas of research requiring more attention is the study of human-robot interaction (HRI) when a person and robot are moving close to each other. Understanding effective ways to... Read More about Investigating the effectiveness of different interaction modalities for spatial human-robot interaction.

Speech related accessibility issues in social robots (2020)
Presentation / Conference Contribution

This work describes an incidental finding from a longitudinal Human-Robot Interaction study that was investigating whether a robot showing emotions during interactions with older adults was perceived differently than to a robot that did not display e... Read More about Speech related accessibility issues in social robots.

The impact of affective verbal expressions in social robots (2020)
Presentation / Conference Contribution

This research investigates whether there is an ethical concern in robots misrepresenting their internal state through speech. Participants were asked to discuss their food preferences with a robot, where the robot would either respond through facts o... Read More about The impact of affective verbal expressions in social robots.

Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks (2019)
Journal Article

A new algorithm is proposed to estimate the tool-tissue force interaction in robot-assisted minimally invasive surgery which does not require the use of external force sensing. The proposed method utilizes the current of the motors of the surgical in... Read More about Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks.

Motion Capture Pillow (MCP): A novel method to improve comfort and accuracy in radiotherapy (2019)
Journal Article

The delivery of radiotherapy has changed significantly over the last few decades. Recent advances in radiotherapy practice may increase patient discomfort. A key challenge to improve patient comfort is the common use of a thermoplastic mask for patien... Read More about Motion Capture Pillow (MCP): A novel method to improve comfort and accuracy in radiotherapy.

Real-time electromagnetic tracking of orthopaedic pins for robot-assisted fracture surgery (2018)
Presentation / Conference Contribution

Tracking devices are an essential component in image guided surgery particularly when precise treatment or implant positioning are required. In this paper we explore the use of an electromagnetic tracking device (Polaris Aurora, NDI Inc.) as an alter... Read More about Real-time electromagnetic tracking of orthopaedic pins for robot-assisted fracture surgery.

A framework for semi-supervised adaptive learning for activity recognition in healthcare applications (2018)
Presentation / Conference Contribution

With the growing popularity of the Internet of Things and connected home products, potential healthcare applications in a smart-home context for assisted living are becoming increasingly apparent. However, challenges in performing real-time human act... Read More about A framework for semi-supervised adaptive learning for activity recognition in healthcare applications.

Biomimetic knee design to improve joint torque and life for bipedal robotics (2018)
Presentation / Conference Contribution

© Springer International Publishing AG, part of Springer Nature 2018. This paper details the design, construction, and performance analysis of a biologically inspired knee joint for use in bipedal robotics. The design copies the condylar surfaces of... Read More about Biomimetic knee design to improve joint torque and life for bipedal robotics.

'Elbows Out' - Predictive tracking of partially occluded pose for Robot-Assisted dressing (2018)
Journal Article

© 2016 IEEE. Robots that can assist in the activities of daily living, such as dressing, may support older adults, addressing the needs of an aging population in the face of a growing shortage of care professionals. Using depth cameras during robot-a... Read More about 'Elbows Out' - Predictive tracking of partially occluded pose for Robot-Assisted dressing.