| ED-FNN: A new deep learning algorithm to detect percentage of the gait cycle for powered prostheses HTT Vu, F Gomez, P Cherelle, D Lefeber, A Nowé, B Vanderborght Sensors 18 (7), 2389, 2018 | 92 | 2018 |
| A review of gait phase detection algorithms for lower limb prostheses HTT Vu, D Dong, HL Cao, T Verstraten, D Lefeber, B Vanderborght, ... Sensors 20 (14), 3972, 2020 | 86 | 2020 |
| A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion D Dong, C Ma, M Wang, HT Vu, B Vanderborght, Y Sun Engineering Applications of Artificial Intelligence 120, 105886, 2023 | 11 | 2023 |
| DualKeepon: a human–robot interaction testbed to study linguistic features of speech HL Cao, LC Jensen, XN Nghiem, H Vu, A De Beir, PG Esteban, ... Intelligent Service Robotics 12, 45-54, 2019 | 10 | 2019 |
| Vi Điều Khiển Cấu Trúc-Lập Trình Và Ứng Dụng XT Kiều, TTH Vũ, TK Vũ Giáo dục, 2008 | 8 | 2008 |
| Localized automation solutions in response to the first wave of COVID-19: A story from Vietnam HL Cao, HAD Nguyen, TH Luu, HTT Vu, D Pham, HH Le, DXB Nguyen, ... International Journal of Pervasive Computing and Communications 18 (5), 548-562, 2020 | 5 | 2020 |
| Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit HTT Vu, HL Cao, D Dong, T Verstraten, J Geeroms, B Vanderborght Frontiers in Neurorobotics 16, 923164, 2022 | 2 | 2022 |
Bram VanderborghtVrije Universiteit Brussel and imecVerified email at vub.ac.be
