Researcher
Glen Debard
- Disciplines:Artificial intelligence, Multimedia processing, Signal processing, Other computer engineering, information technology and mathematical engineering, Biological system engineering, Medical imaging and therapy
Affiliations
- Electrical Engineering Technology (ESAT), Geel Campus (Technology cluster)
Member
From1 Oct 2013 → 30 Sep 2015 - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Mar 2009 → 28 Feb 2019
Projects
1 - 2 of 2
- Digital innovations in a holistic support for children and young people.From1 May 2023 → TodayFunding: IOF - mandates
- Camera based fall detection using real-life dataFrom2 Mar 2009 → 16 Oct 2017Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 21
- Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults(2021)
Authors: Marc Mertens, Glen Debard, Jesse Davis, Koen Milisen, Jos Tournoy, Bart Vanrumste
- Physiological and self-reported arousal in virtual reality versus face-to-face emotional activation and cognitive restructuring in university students: A crossover experimental study using wearable monitoring(2021)
Authors: Glen Debard, Bert Bonroy
- Making Wearable Technology Available for Mental Healthcare through an Online Platform with Stress Detection Algorithms: The Carewear Project(2020)
Authors: Glen Debard, Marc Mertens, Tom Van Daele, Bert Bonroy
- Augmenting exposure therapy: Mobile augmented reality for specific phobia.(2020)
Authors: Sara Scheveneels, Glen Debard, Dirk Hermans, Tom Van Daele
- Use of wearable technology to quantify fall risk in psychogeriatric environments: a feasability study(2019)
Authors: Marc Mertens, Glen Debard, Bart Vanrumste, Jesse Davis
Pages: 3187 - 3190 - Camera based fall detection using real-life data(2017)
Authors: Glen Debard, Bart Vanrumste, Toon Goedemé, Tinne Tuytelaars
- Improving the accuracy of existing camera based fall detection algorithms through late fusion(2017)
Authors: Greet Baldewijns, Glen Debard, Gert Mertes, Tom Croonenborghs, Bart Vanrumste
Pages: 2667 - 2671 - Three ways to improve the performance of real-life camera-based fall detection systems(2017)
Authors: Glen Debard, Marc Mertens, Toon Goedemé, Tinne Tuytelaars, Bart Vanrumste
- Scalable semi-automatic annotation for multi-camera person tracking(2016)
Authors: Glen Debard, Bart Vanrumste, Tinne Tuytelaars
Pages: 2259 - 2274 - Camera-based fall detection using real-world versus simulated data: how far are we from the solution?(2016)
Authors: Glen Debard, Marc Mertens, Mieke Deschodt, Ellen Vlaeyen, Els Devriendt, Eddy Dejaeger, Koen Milisen, Jos Tournoy, Tom Croonenborghs, Toon Goedemé, et al.
Pages: 149 - 168