Benjamin Filtjens Human Movement Intelligence

Portfolio

Projects and collaborations

An older user, clinician and researcher co-design an exoskeleton; movement, physiological demand and environmental context feed AI assessment linked to a home exoskeleton through adaptive control and feedback, with wearer adjustment.
Research Collaboration 2023

RevalExo

Co-designing a home-based assistive exoskeleton with AI-based assessment and intelligent adaptive control.

Co-Investigator

Funded by Research Foundation – Flanders (FWO), Strategic Basic Research

Two older patients, a clinician and a researcher discuss paper and tablet prototypes of a shared decision aid, with home-monitoring information and input from engineering, ethics and legislation.
Research Collaboration 2026

JustHealth

Co-designing a decision aid that brings home-monitoring information into shared decision making between patients and clinicians.

Co-Investigator

Funded by European Union, Horizon Europe, Marie Skłodowska-Curie Actions

A laboratory gait recording on the left and a residential-care corridor recording on the right connect to central walking poses, a neural network and an abstract movement feature space, all aligned horizontally.
Completed Fellowship 2024-10–2025-06

Towards foundation models for gait analysis

Harmonizing clinical gait data and studying transferable models for daily-life movement assessment.

Personal fellowship holder

Funded by Data Sciences Institute, University of Toronto · DSI-PDFY3R1P13

A first-person home doorway view with camera glasses, an IMU, synchronized video thumbnails and movement traces, a FOG-event timeline, and a small inset of an older wearer.
Research Collaboration 2024

AID-FOG

Complementing laboratory snapshots with freezing-of-gait monitoring at home using wearable sensing and first-person video.

Co-Investigator

Funded by Michael J. Fox Foundation for Parkinson’s Research

Three illustrated co-design sessions: older care-home residents and researchers discuss exercise needs, explore ideas alongside a robotic assistant, and try the robot in a seated exercise session.
Research Collaboration 2023

AI@WZC

A co-designed robotic exercise assistant for care-home residents where staff time for exercise supervision is limited.

Co-Investigator

Funded by Province of Flemish Brabant, Smart Region

Synthetic walking models and a healthy participant feed an AI network that transfers learning to a user with a powered leg prosthesis on a Cybathlon-inspired course with uneven ground, ramps, stairs and balance obstacles.
Research Collaboration 2023

AidWear

Transferring movement learning to AI-controlled prostheses for challenging Cybathlon mobility tasks.

Co-Investigator

Funded by Belgian Federal Public Service Policy and Support (BOSA)

Illustrated gait assessment with wearable sensors, seated exercise with a robotic assistant, and lower-limb exoskeleton rehabilitation, connected through shared research methods and collaborations.
Completed Fellowship 2022-10–2023-09

Towards at-home mobility assessment

Developing movement-assessment methods and collaborations for research beyond the laboratory.

Personal fellowship holder

Funded by KU Leuven Research Council · PDMT2/22/046

Wearable movement recordings are processed by a neural network, reviewed by an expert, and turned into verified freezing-of-gait annotations.
Research Collaboration 2021

FOG-IT

A clinician-in-the-loop dashboard supporting AI-assisted freezing-of-gait annotation during standardized laboratory tasks.

Postdoc

Funded by KU Leuven Industrial Research Fund