Contactless robust 3D palm-print identification using photometric stereo

Smith, Lyndon N.; Langhof, Max P.; Hansen, Mark F.; Smith, Melvyn L.

doi:10.1117/12.2595439

Integration of computer vision in a testing facility for prosthetic joint inspection and performance assessment (2022)
Conference Proceeding
Glanville, S., Chong, J. J., Jafari, A., & Etoundi, A. (2022). Integration of computer vision in a testing facility for prosthetic joint inspection and performance assessment. In 2021 24th International Conference on Mechatronics Technology (ICMT)https://doi.org/10.1109/icmt53429.2021.9687237

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)
Conference Proceeding
Hung, C. H., Etoundi, A., Jafari, A., Matthews, J., Chang, W. C., & Chong, J. J. (2022). Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging. In 2021 24th International Conference on Mechatronics Technology (ICMT)https://doi.org/10.1109/icmt53429.2021.9687202

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.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Conference Proceeding
Western, D., Weber, T., Kandasamy, R., May, F., Taylor, S., Zhu, Y., & Canham, L. (2022). Automatic report-based labelling of clinical EEGs for classifier training. In 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). https://doi.org/10.1109/SPMB52430.2021.9672295

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)
Conference Proceeding
Smith, A., Ward-Cherrier, B., Etoundi, A., & Pearson, M. J. (2022). Evaluating multi-channel vibrational feedback arrays in a digit discrimination task. In 2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE) (202-207). https://doi.org/10.1109/ISEEIE55684.2022.00042

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)
Conference Proceeding
Quessy, A. D., Richardson, T. S., & Hansen, M. (2022). Vision based semantic runway segmentation from simulation with deep convolutional neural networks. https://doi.org/10.2514/6.2022-0680

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)
Conference Proceeding
Chen, D., Li, G., Zhou, D., & Ju, Z. (2021). A novel curved gaussian mixture model and its application in motion skill encoding. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (7813-7818). https://doi.org/10.1109/IROS51168.2021.9636121

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)
Conference Proceeding
Mahamadu, A., Prabhakaran, A., Clark, K., Dziekonski, K., Okeke, U., Zhang, W., …Aigbavboa, C. O. (2021). The application of eye-tracking technology in architecture engineering and construction industry: A systematic review. In N. Dawood, F. Pour Rahimian, & M. Sheikhkhoshkar (Eds.), Proceedings of the 21st International Conference on Construction Applications of Virtual Reality (56-64)

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.

A robust machine learning framework for diabetes prediction (2021)
Conference Proceeding
Olisah, C., Adeleye, O., Smith, L., & Smith, M. (2022). A robust machine learning framework for diabetes prediction. In Proceedings of the Future Technologies Conference (FTC) 2021 (775-792). https://doi.org/10.1007/978-3-030-89880-9_58

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia which results from the inadequacy of the body to secret and responds to insulin. If not properly managed or diagnosed on time, diabetes can pose a risk to vital body organs such... Read More about A robust machine learning framework for diabetes prediction.

Evaluation of LiDAR Inertial Odometry method with 3D LiDAR-based sensor pack (2021)
Conference Proceeding
Withey, D., & Ogunniyi, S. (2021). Evaluation of LiDAR Inertial Odometry method with 3D LiDAR-based sensor pack. . https://doi.org/10.1109/RAPDASA-RobMech-PRAS53819.2021.9829077

As the 4th industrial revolution emerges at the forefront of South Africa's national strategy, research areas like mapping and localization find importance in more fields than just robotics. The mining industry is well-positioned to be a potential be... Read More about Evaluation of LiDAR Inertial Odometry method with 3D LiDAR-based sensor pack.

WhiskEye: A biomimetic model of multisensory spatial memory based on sensory reconstruction (2021)
Conference Proceeding
Knowles, T. C., Stentiford, R., & Pearson, M. J. (2021). WhiskEye: A biomimetic model of multisensory spatial memory based on sensory reconstruction. In TAROS 2021: Towards Autonomous Robotic Systems (408-418). https://doi.org/10.1007/978-3-030-89177-0_43

We present WhiskEye, a visual tactile robot supporting a neurorobotic investigation of spatial memory as a multisensory reconstructive process. This article outlines the motivation for building WhiskEye; the technical details of the physical robot, a... Read More about WhiskEye: A biomimetic model of multisensory spatial memory based on sensory reconstruction.

Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism (2021)
Conference Proceeding
Zaidi, Y., & Wright, C. (2021). Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism

This study presents the analysis and optimisation of a novel deployment mechanism that utilises the shape memory effect inherent in Nickel-Titanium alloys, namely Nitinol. The mechanism is currently designed to secure and deploy solar panels on board... Read More about Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism.

The Design of a 3U CubeSat to Monitor the Great Pacific Garbage Patch following a Systems Engineering Approach (2021)
Conference Proceeding
Zaidi, Y., Greenly, C., Passmore, J., Wong, H., Chinn, S., Gray, H., & Johnson, P. (2021). The Design of a 3U CubeSat to Monitor the Great Pacific Garbage Patch following a Systems Engineering Approach

This paper proposes a novel application of a CubeSat to help tackle one of the most alarming calamities in the present time, the Great Pacific Garbage Patch (GPGP). One of six similar accumulations of garbage across the world’s oceans, the GPGP is wi... Read More about The Design of a 3U CubeSat to Monitor the Great Pacific Garbage Patch following a Systems Engineering Approach.

Topology morphing lattice structures (2021)
Conference Proceeding
Sundararaman, V., O'Donnell, M., Chenchiah, I. V., & Weaver, P. (2021). Topology morphing lattice structures. In Proceedings Series: ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. https://doi.org/10.1115/SMASIS2021-67531

Planar cellular lattice structures subject to axial compression may undergo elastic bending or buckling of the unit cells. If sufficient compression is applied, the columns of adjacent cells make contact. This changes the topology of the lattice by e... Read More about Topology morphing lattice structures.

Smart municipal governance system using confluence of technologies in a developing country scenario (2021)
Conference Proceeding
Shivashankar, K., & Bakthavatchaalam, V. (2021). Smart municipal governance system using confluence of technologies in a developing country scenario. In ICEGOV 2021 Proceedings (535-537). https://doi.org/10.1145/3494193.3494277

Smart Municipal governance system focuses on the development of urban sustainability, infrastructure, economic improvement and providing better service for their citizens. This paper details the ongoing research on developing a model that brings toge... Read More about Smart municipal governance system using confluence of technologies in a developing country scenario.

Voltage stability improvement in multi-terminal HVDC grids: A case study of cigré B4 HVDC test grid (2021)
Conference Proceeding
Azizi, N., Cheshmehbeigi, H. M., Rouzbehi, K., & Nouri, H. (2021). Voltage stability improvement in multi-terminal HVDC grids: A case study of cigré B4 HVDC test grid. In 2021 56th International Universities Power Engineering Conference (UPEC). https://doi.org/10.1109/UPEC50034.2021.9548164

High voltage direct current (HVDC) breaker is among the essential components of HVDC grids. Currently, DC circuit breakers (DCCBs) of HVDC grids require relatively large DC reactors to limit the rate of increase of fault current. However, DC reactors... Read More about Voltage stability improvement in multi-terminal HVDC grids: A case study of cigré B4 HVDC test grid.

Voltage and frequency stability enhancement of islanded network (2021)
Conference Proceeding
Azizi, N., Cheshmehbeigi, H. M., & Nouri, H. (2021). Voltage and frequency stability enhancement of islanded network. . https://doi.org/10.1109/UPEC50034.2021.9548170

Nowadays, for economic and environmental reasons, power systems usually work close to the limits of stability to make the most of existing networks. However, in such systems, sudden faults can cause severe instability between all equipment of the sys... Read More about Voltage and frequency stability enhancement of islanded network.

Calculation and validation of sector-shaped conductor cable parameters in LV distribution systems (2021)
Conference Proceeding
Le, T., Nouri, H., & Le Blond, S. (2021). Calculation and validation of sector-shaped conductor cable parameters in LV distribution systems. In 2021 56th International Universities Power Engineering Conference (UPEC). https://doi.org/10.1109/UPEC50034.2021.9548158

The exact determination of faults in underground power distribution networks requires accurate cable parameter data. Accuracy depends on how the cable parameters have been derived, which in turn is a function of the core shape. This paper schematical... Read More about Calculation and validation of sector-shaped conductor cable parameters in LV distribution systems.

Targeting global environmental challenges by the means of novel multimodal transport: Concept of operations (2021)
Conference Proceeding
Portapas, V., Zaidi, Y., Bakunowicz, J., Paddeu, D., Valera-Medina, A., & Didey, A. (2021). Targeting global environmental challenges by the means of novel multimodal transport: Concept of operations. In 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4) (101-106). https://doi.org/10.1109/WorldS451998.2021.9514048

Novel modes of transport form the basis of environmentally friendly and economically efficient transport system of the future. This paper introduces the feasibility study of a Dock to Dock (D2D) use case, combining aspects of route development and in... Read More about Targeting global environmental challenges by the means of novel multimodal transport: Concept of operations.

Observing and tracking the Great Pacific Garbage Patch (2021)
Conference Proceeding
Greenly, C., Gray, H., Wong, H., Chinn, S., Passmore, J., Johnson, P., & Zaidi, Y. (2021). Observing and tracking the Great Pacific Garbage Patch

The subtropical waters between Hawaii and California are currently infested with an accumulation of plastic estimated to be twice the area of Texas, otherwise known as the Great Pacific Garbage Patch (GPGP). This paper presents a novel CubeSat missio... Read More about Observing and tracking the Great Pacific Garbage Patch.

Contactless robust 3D palm-print identification using photometric stereo (2021)
Conference Proceeding
Smith, L. N., Langhof, M. P., Hansen, M. F., & Smith, M. L. (2021). Contactless robust 3D palm-print identification using photometric stereo. https://doi.org/10.1117/12.2595439

Palmprints are of considerable interest as a reliable biometric, since they offer significant advantages, such as greater user acceptance than fingerprint or iris recognition. 2D systems can be spoofed by a photograph of a hand; however, 3D avoids th... Read More about Contactless robust 3D palm-print identification using photometric stereo.

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