Ghent University Academic Bibliography

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Robust assessment of free-living physical behaviors and activity intensity using dual-wearable multitask learning : development and evaluation study from the Multicenter WEALTH Project

Luis Sigcha, Annika Swenne, Grainne Hayes, Jitka Kuhnova, Richard Cimler, Steriani Elavsky, Tomas Vetrovsky, Léopold Fezeu Kamedjie, Jerome Bouchan, Jean Michel Oppert, et al.

(2026) JMIR MHEALTH AND UHEALTH. 14.
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A seq-to-seq temporal convolutional network for volleyball jump monitoring using a waist-mounted IMU

Meng Shang, Camilla De Bleecker (UGent) , Jos Vanrenterghem, Roel De Ridder (UGent) , Sabine Verschueren, Carolina Varon, Walter de Raedt and Bart Vanrumste

(2025) IEEE ACCESS. 13. p.42986-42996
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AI-assisted automatic jump detection and height estimation in volleyball using a waist-worn IMU

Weiyi Xu, Chunzhuo Wang, Meng Shang, Camilla De Bleecker (UGent) , Maria Torres Vega, Jos Vanrenterghem (UGent) and Bart Vanrumste

(2025) 2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBC. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society p.1-7
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Detecting equine gaits through rider-worn accelerometers

Jorn Schampheleer (UGent) , Anniek Eerdekens (UGent) , Wout Joseph (UGent) , Luc Martens (UGent) and Margot Deruyck (UGent)

(2025) ANIMALS. 15(8).
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Optimized data transmission for radar-based edge-cloud human activity recognition via quantization

Victor Tuytte, Arash Heidari (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) 2024 21ST EUROPEAN RADAR CONFERENCE, EURAD 2024. p.145-148
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Left-right swapping and upper-lower limb pairing for robust multi-wearable workout activity detection

Jonas Van Der Donckt (UGent) , Jeroen Van Der Donckt (UGent) and Sofie Van Hoecke (UGent)

(2024) COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024. p.545-550
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Unlocking the potential of smartphone and ambient sensors for ADL detection

Marija Stojchevska (UGent) , Mathias De Brouwer (UGent) , Martijn Courteaux (UGent) , Bram Steenwinckel (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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Open-set patient activity recognition with radar sensors and deep learning

Geethika Bhavanasi, Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 20.
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From lab to real world : assessing the effectiveness of human activity recognition and optimization through personalization

Marija Stojchevska (UGent) , Mathias De Brouwer (UGent) , Martijn Courteaux (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) SENSORS. 23(10).
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Secure multi-party computation for personalized human activity recognition

David Melanson, Ricardo Maia, Hee-Seok Kim, Anderson Nascimento and Martine De Cock (UGent)

(2023) NEURAL PROCESSING LETTERS. 55(3). p.2127-2153

Academic Bibliography

Robust assessment of free-living physical behaviors and activity intensity using dual-wearable multitask learning : development and evaluation study from the Multicenter WEALTH Project

A seq-to-seq temporal convolutional network for volleyball jump monitoring using a waist-mounted IMU

AI-assisted automatic jump detection and height estimation in volleyball using a waist-worn IMU

Detecting equine gaits through rider-worn accelerometers

Optimized data transmission for radar-based edge-cloud human activity recognition via quantization

Left-right swapping and upper-lower limb pairing for robust multi-wearable workout activity detection

Unlocking the potential of smartphone and ambient sensors for ADL detection

Open-set patient activity recognition with radar sensors and deep learning

From lab to real world : assessing the effectiveness of human activity recognition and optimization through personalization

Secure multi-party computation for personalized human activity recognition

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