An efficient home-based risk of falling assessment test based on Smartphone and instrumented insole. - Johannes C. Ayena; Landry Delphin Chapwouo Tchakouté; Martin J.-D. Otis; Bob-Antoine Jerry Ménélas (MeMeA, 2015)

Risk of Falling Assessment on Different Types of Ground Using the Instrumented TUG. - Mahmoud Ben Brahem; Johannes C. Ayena; Martin J.-D. Otis; Bob-Antoine Jerry Ménélas (SMC, 2015)

Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks. - Eya Barkallah; Johan Freulard; Martin J.-D. Otis; Suzy Ngomo; Johannes C. Ayena; Christian Desrosiers (Sensors, 2017)

Low-Rank and Sparse Recovery of Human Gait Data. - Kaveh Kamali; Ali Akbar Akbari; Christian Desrosiers; Alireza Akbarzadeh 001; Martin J.-D. Otis; Johannes C. Ayena (Sensors, 2020)

Image Generation for 2D-CNN Using Time-Series Signal Features from Foot Gesture Applied to Select Cobot Operating Mode. - Fadwa El Aswad; Gilde Vanel Tchane Djogdom; Martin J.-D. Otis; Johannes C. Ayena; Ramy Meziane (Sensors, 2021)

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole. - Johannes C. Ayena; Lydia Chioukh; Martin J.-D. Otis; Dominic Deslandes (Sensors, 2021)

Acceptability, Feasibility, and Effectiveness of Immersive Virtual Technologies to Promote Exercise in Older Adults: A Systematic Review and Meta-Analysis. - Benjamin Doré; Alex Gaudreault; Gauthier Everard; Johannes C. Ayena; Ahmad Abboud; Nicolas Robitaille; Charles Sebiyo Batcho (Sensors, 2023)

Soil friction coefficient estimation using CNN included in an assistive system for walking in urban areas. - Oleksiy Gensytskyy; Pratyush Nandi; Martin J.-D. Otis; Clinton Enow Tabi; Johannes C. Ayena (J. Ambient Intell. Humaniz. Comput., 2023)