ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses. - Huong Thi Thu Vu; Felipe Gomez Marulanda; Pierre Cherelle; Dirk Lefeber; Ann Nowé; Bram Vanderborght (Sensors, 2018)

A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses. - Huong Thi Thu Vu; Dianbiao Dong; Hoang-Long Cao; Tom Verstraten; Dirk Lefeber; Bram Vanderborght; Joost Geeroms (Sensors, 2020)

Localized automation solutions in response to the first wave of COVID-19: a story from Vietnam. - Hoang-Long Cao; Huynh Anh Duy Nguyen; Trong Hieu Luu; Huong Thi Thu Vu; Diep Pham; Van Thi Ngoc Vu; Hoang Hai Le; Duy Xuan Bach Nguyen; Trong Toai Truong; Hoang-Dung Nguyen; Chi-Ngon Nguyen (Int. J. Pervasive Comput. Commun., 2022)

Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit. - Huong Thi Thu Vu; Hoang-Long Cao; Dianbiao Dong; Tom Verstraten; Joost Geeroms; Bram Vanderborght (Frontiers Neurorobotics, 2022)

A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion. - Dianbiao Dong; Chi Ma; Miao Wang; Huong Thi Thu Vu; Bram Vanderborght; Yuanxi Sun (Eng. Appl. Artif. Intell., 2023)