Items where Author is "Nouredanesh, Mina"

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Nouredanesh, Mina, Godfrey, Alan, Powell, Dylan and Tung, James (2022) Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment. Journal of NeuroEngineering and Rehabilitation, 19 (1). p. 79. ISSN 1743-0003

Nouredanesh, Mina, Ojeda, Lauro, Alexander, Neil B., Godfrey, Alan, Schwenk, Michael, Melek, William and Tung, James (2022) Automated Detection of Older Adults’ Naturally-Occurring Compensatory Balance Reactions: Translation From Laboratory to Free-Living Conditions. IEEE Journal of Translational Engineering in Health and Medicine, 10. p. 2700113. ISSN 2168-2372

Powell, Dylan, Nouredanesh, Mina, Stuart, Sam and Godfrey, Alan (2021) Investigating the AX6 inertial-based wearable for instrumented physical capability assessment of young adults in a low-resource setting. Smart Health, 22. p. 100220. ISSN 2352-6483

Nouredanesh, Mina, Godfrey, Alan, Howcroft, Jennifer, Lemaire, Edward and Tung, James (2021) Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions. Gait & Posture, 85. pp. 178-190. ISSN 0966-6362

Nouredanesh, Mina, Godfrey, Alan and Tung, James (2020) First-person Vision-based Assessment of Fall Risks in The Wild, Towards Fall Prevention in Older Adults. Journal of Computational Vision and Imaging Systems, 5 (1). p. 1. ISSN 2562-0444

Godfrey, Alan, Brodie, Matthew, van Schooten, Kim, Nouredanesh, Mina, Stuart, Samuel and Robinson, Louise (2019) Inertial wearables as pragmatic tools in dementia. Maturitas, 127. pp. 12-17. ISSN 0378-5122

Nouredanesh, Mina, Li, Aaron, Godfrey, Alan, Hoey, Jesse and Tung, James (2019) Chasing feet in the wild: A proposed egocentric motion-aware gait assessment tool. In: Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings. Lecture Notes in Computer Science, 1 (11134). Springer, pp. 176-192. ISBN 9783030012458

This list was generated on Thu Dec 26 17:25:36 2024 UTC.