Tag: Alma

Upcoming Stereoscopic Perception Study

We are excited to announce that George Bell and Dr Alma Cantu are conducting a 3D stereoscopic experiment over the next few weeks, from the 13th to the 30th October.

The research studies aim at validating a theory by testing it with participants.

The study aims to evaluate some benefits of the 3D stereoscopy for data visualisation.

We warmly invite anyone interested in taking part to get in contact or book a slot!

Participants will be looking at a 3D screen (no immersive headset) and identifying numbers in a noisy environment.

It will take approximately 45 minutes to complete.

To book a slot, please use this link: Book a slot
To learn more or ask any questions, please contact George Bell at g.bell1@newcastle.ac.uk

Your participation will make a valuable contribution to their research, and we would be very grateful for your time and support. 

If you took part of the first experiment that happened around August time, your interest is greatly appreciate but please do not book a slot again

Third Place at GD Contest 2025

George, Luke, Alma and Daniel, with partners from the University of Cologne, designed and created a visualisation for submission to The 33rd International Symposium on Graph Drawing and Network Visualization Creative Topic challenge. Of twelve submissions, they achieved third place!

The challenge was to create a visualisation for the German science fiction show Dark, visualising its complex non-linear storyline containing frequent time-travel, multiple realities and a large cast of interacting characters. The final visualisation was projected onto the Norrköping Decision Arena‘s 360° degree screen .

Storyline for Dark projected onto a 360° display

For an interactable demo, click here.

Co-creating the visualisation of digital mobility outcomes: Delphi-type process with patients

Lumsdon, J., Wilson, C., Alcock, L., Becker, C., Benvenuti, F., Bonci, T., Van Den Brande, K., Brittain, G., Brown, P., Buckley, E., Caruso, M., Caulfield, B., Cereatti, A., Delgado-Ortiz, L., Del DIn, S., Evers, J., Garcia-Aymerich, J., Gaßner, H., Gur Arieh, T., … Cantu, A. (2025). Co-creating the visualisation of digital mobility outcomes: A Delphi-type process with patients. JMIR Formative Research. https://doi.org/10.2196/68782.

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

Kirk, C., Küderle, A., Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Van Gelder, L. (2024). Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device. Scientific Reports, 14(1), 1754. https://doi.org/10.1038/s41598-024-51766-5

Mobilizing patient and public involvement in the development of real-world digital technology solutions: Tutorial

Keogh, A., Mc Ardle, R., Diaconu, M. G., Ammour, N., Arnera, V., Balzani, F., Brittain, G., Buckley, E., Buttery, S., Cantu, A., Corriol-Rohou, S., Delgado-Ortiz, L., Duysens, J., Forman-Hardy, T., Gur-Arieh, T., Hamerlijnck, D., Linnell, J., Leocani, L., McQuillan, T., … Mobilise-D consortium. (2023). Mobilizing patient and public involvement in the development of real-world digital technology solutions: Tutorial. Journal of Medical Internet Research, 25, e44206. https://doi.org/10.2196/44206

Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study

Kirk, C., Kuederle, A., Mico-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Din, S. D. (2023). Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study. https://doi.org/10.21203/rs.3.rs-2965670/v1

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Chiari, L., D’Ascanio, I., … Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14, 1247532. https://doi.org/10.3389/fneur.2023.1247532

Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes

Cantu, A., Micó-Amigo, M. E., Del Din, S., & Fernstad, S. J. (2023). Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 21–30. https://doi.org/10.1109/PacificVis56936.2023.00010

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … for the Mobilise-D consortium. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation, 20(1), 78. https://doi.org/10.1186/s12984-023-01198-5