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Number of items: 13.

A

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ASGARI, Hossein and HELLER, Ben (2025). Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU. Sensors, 25 (2): 315. [Article]

D

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DEVER, A., POWELL, D., GRAHAM, L., MASON, R., DAS, J., MARSHALL, Steven, VITORIO, R., GODFREY, A. and STUART, S. (2022). Gait Impairment in Traumatic Brain Injury: A Systematic Review. Sensors, 22 (4). [Article]

E

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ENAMAMU, Timibloudi, OTEBOLAKU, Abayomi, MARCHANG, Jims and DANY, Joy (2020). Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction. Sensors, 20 (19): 5690. [Article]

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FAROOQ, Umer, MEHREZ, Habib and UL HASAN, Najam (2024). A Reinforcement Learning Based Approach for Efficient Routing in Multi-FPGA Platforms. Sensors, 25 (1): 42. [Article]

H

HOLLOWAY, A., NABOK, A. V., THOMPSON, M., RAY, A. K., CROWTHER, D. and SIDDIQI, J. (2003). New method of vapour discrimination using the thickness shear mode (TSM) resonator. Sensors, 3 (6), 187-191. [Article]

J

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JONES, Ben, HELLER, Ben, VAN GELDER, Linda, BARNES, Andrew, REEVES, Joanna and WHEAT, Jonathan (2024). Running Gait Complexity During an Overground, Mass-Participation Five-Kilometre Run. Sensors, 24 (22): 7252. [Article]

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MUNOZ-ORGANERO, Mario, POWELL, Lauren, HELLER, Ben, HARPIN, Val and PARKER, Jack (2019). Using recurrent neural networks to compare movement patterns in ADHD and normally developing children based on acceleration signals from the wrist and ankle. Sensors, 19 (13), p. 2935. [Article]

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MUÑOZ-ORGANERO, Mario, POWELL, Lauren, HELLER, Ben, HARPIN, Val and PARKER, Jack (2018). Automatic extraction and detection of characteristic movement patterns in children with ADHD Based on a convolutional neural network (CNN) and acceleration images. Sensors, 18 (11), p. 3924. [Article]

N

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NTOVOLI, Apostolia, MITROPOULOS, Alexandros, ANIFANTI, Maria, KOUKOUVOU, Georgia, KOUIDI, Evangelia and ALEXANDRIS, Kostas (2025). Can Online Exercise Using Wearable Devices Improve Perceived Well-Being? A Study Among Patients with Coronary Artery Disease. Sensors, 25 (3): 698. [Article]

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OTEBOLAKU, Abayomi, ENAMAMU, Timibloudi, ALFOUDI, Ali, IKPEHAI, Augustine, MARCHANG, Jims and LEE, Gyu Myoung (2020). Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition using Deep Convolutional Neural Networks. Sensors, 20 (13), e3803. [Article]

S

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SHAFIZADEH, Mohsen and DAVIDS, Keith (2024). Wearable System Applications in Performance Analysis of RaceRunning Athletes with Disabilities. Sensors, 24 (24): 7923. [Article]

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SHENFIELD, Alex and HOWARTH, Martin (2020). A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. Sensors, 20 (18), e5112. [Article]

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SLATTERY, Patrick, COFRÉ LIZAMA, L. Eduardo, WHEAT, Jonathan, GASTIN, Paul, DASCOMBE, Ben and MIDDLETON, Kane (2024). The Agreement between Wearable Sensors and Force Plates for the Analysis of Stride Time Variability. Sensors, 24 (11): 3378. [Article]

This list was generated on Tue Feb 4 22:20:40 2025 UTC.

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