Devon Martin

Wu, Y., Nichols, C., Foster, M., Martin, D., Dieffenderfer, J., Enomoto, M., … Roberts, D. L. (2023). An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs. TENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2023. https://doi.org/10.1145/3637882.3637883

Martin, D., Roberts, D., & Bozkurt, A. (2023). Toward In-the-Field Canine Manifold Learning: Data Fusion for Evaluation of Potential Guide Dogs. TENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2023. https://doi.org/10.1145/3637882.3637898

Reynolds, J., Williams, E., Martin, D., Readling, C., Ahmmed, P., Huseth, A., & Bozkurt, A. (2022). A Multimodal Sensing Platform for Interdisciplinary Research in Agrarian Environments. SENSORS, 22(15). https://doi.org/10.3390/s22155582

Pearson, J. N., Stewart-Ginsburg, J. H., Malone, K., Manns, L., Martin, D. V. M., & Sturdivant, D. (2022, July 25). Best FACES Forward: Outcomes of an Advocacy Intervention for Black Parents Raising Autistic Youth. EXCEPTIONALITY. https://doi.org/10.1080/09362835.2022.2100392

Martin, D., Holder, T., Nichols, C., Park, J., Roberts, D., & Bozkurt, A. (2022). Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation. NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022. https://doi.org/10.1145/3565995.3566025

Martin, D., Reynolds, J., Daniele, M., Lobaton, E., & Bozkurt, A. (2021). Towards Continuous Plant Bioimpedance Fitting and Parameter Estimation. 2021 IEEE SENSORS. https://doi.org/10.1109/SENSORS47087.2021.9639492