Items where Author is "Kendrick, Connah"
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Henry, John ORCID: https://orcid.org/0000-0003-3674-8208, Kendrick, Connah, Cui, Xia ORCID: https://orcid.org/0000-0002-1726-3814 and Arnab, Sylvester (2024) Assessing the validity of wearable technology as game input for exergames. In: 12th International Conference on Serious Games and Applications for Health, 7 August 2024 - 9 August 2024, Funchal, Portugal.
Henry, John ORCID: https://orcid.org/0000-0003-3674-8208, Kendrick, Connah and Arnab, Sylvester (2023) Wearable technology as game input for active exergames. In: 11th International Conference on Serious Games and Applications for Health, 28 August 2023 - 30 August 2023, Athens, Greece.
Henry, John ORCID: https://orcid.org/0000-0003-3674-8208, Lloyd, Huw ORCID: https://orcid.org/0000-0001-6537-4036, Turner, Martin ORCID: https://orcid.org/0000-0003-1975-5561 and Kendrick, Connah (2023) On the robustness of machine learning models for stress and anxiety recognition from heart activity signals. IEEE Sensors Journal, 23 (13). pp. 14428-14436. ISSN 1530-437X
Yap, Chuin Hon, Yap, Moi Hoon ORCID: https://orcid.org/0000-0001-7681-4287, Davison, Adrian ORCID: https://orcid.org/0000-0002-6496-0209, Kendrick, Connah, Li, Jingting, Wang, Su-Jing and Cunningham, Ryan (2022) 3D-CNN for facial micro- and macro-expression spotting on long video sequences using temporal oriented reference frame. In: MM '22: The 30th ACM International Conference on Multimedia, 10 October 2022 - 14 October 2022, Lisboa, Portugal.
Jaworek-Korjakowska, Joanna, Brodzicki, Andrzej, Cassidy, Bill ORCID: https://orcid.org/0000-0003-3741-8120, Kendrick, Connah and Yap, Moi Hoon ORCID: https://orcid.org/0000-0001-7681-4287 (2021) Interpretability of a deep learning based approach for the classification of skin lesions into main anatomic body sites. Cancers, 13 (23). ISSN 2072-6694
Jam, Jireh ORCID: https://orcid.org/0000-0003-2309-4655, Kendrick, Connah, Drouard, Vincent, Walker, Kevin, Hsu, Gee-Sern and Yap, Moi Hoon ORCID: https://orcid.org/0000-0001-7681-4287 (2021) R-MNet: a perceptual adversarial network for image inpainting. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 3 January 2021 -8 January 2021, Waikoloa, Hawaii, USA.
Kendrick, Connah (2018) Markerless facial motion capture: deep learning approaches on RGBD data. Doctoral thesis (PhD), Manchester Metropolitan University.