Benjamin Filtjens · Assistant Professor at TU Delft

Human Movement Intelligence

My goal is to develop AI that enables reliable movement assessment beyond the lab and supports personalized rehabilitation to improve patients’ quality of life.

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01 / Background

Academic CV

Appointments, personal grants, awards, service, and publications.

View CV 02 / Research

Projects

Research on movement analysis, clinical assessment, and rehabilitation.

View projects 03 / Education

Education portal

Course materials, exercises, assignments, and feedback.

Student portal 04 / Thesis topics

Lab opportunities

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Selected work

Selected research projects

All projects

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

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

Collaborative research

My research

My research connects human movement science with machine learning, sensing, rehabilitation, and assistive robotics. Together with colleagues and students, we use video and wearable sensors to understand how people move and develop technologies to evaluate movement across people and settings. We also design and evaluate interventions to improve movement, from rehabilitation to physical assistance.

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Teaching at TU Delft

Courses

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