GAIMS > Publications

How to cite this work

The preferred way of citing GAIMS, in general, is the following.

  1. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. GAIMS: A reliable non-intrusive gait measuring system. ERCIM News, 95:26-27, October 2013. [ get the document via orbi ]
  2. S. Belachew, S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Multimodal evaluation of gait and stride dynamics in relapsing and progressive forms of multiple sclerosis. Proceedings of the Belgian Royal Academies of Medecine, 1:66-69, 2012. [ get the document via orbi ]
  3. S. Piérard, R. Phan-Ba, V. Delvaux, P. Maquet, and M. Van Droogenbroeck. GAIMS: a powerful gait analysis system satisfying the constraints of clinical routine. Multiple Sclerosis Journal, 19(S1):359, October 2013. Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P800. [ get the document via orbi ]
  4. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Design of a reliable processing pipeline for the non-intrusive measurement of feet trajectories with lasers. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 4432-4436, Florence, Italy, May 2014. [ DOI | get the document via orbi | http ]

List of publications about GAIMS

This is the list of all our publications of GAIMS, in chronological order.

2011

  1. S. Piérard, M. Van Droogenbroeck, R. Phan-Ba, and S. Belachew. A new low-cost and non-intrusive feet tracker. In Workshop on Circuits, Systems and Signal Processing (ProRISC), pages 382-387, Veldhoven, The Netherlands, November 2011. [ get the document via orbi ]

2012

  1. S. Belachew, S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Multimodal evaluation of gait and stride dynamics in relapsing and progressive forms of multiple sclerosis. Proceedings of the Belgian Royal Academies of Medecine, 1:66-69, 2012. [ get the document via orbi ]
  2. R. Phan-Ba, S. Piérard, G. Moonen, M. Van Droogenbroeck, and S. Belachew. Deciphering distance-induced deceleration of gait and ataxia in people with multiple sclerosis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. poster 755. [ get the document via orbi ]
  3. R. Phan-Ba, S. Piérard, G. Moonen, M. Van Droogenbroeck, and S. Belachew. Detection and quantification of efficiency and quality of gait impairment in multiple sclerosis through foot path analysis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. poster 295. [ get the document via orbi ]
  4. S. Piérard, V. Pierlot, A. Lejeune, and M. Van Droogenbroeck. I-see-3D! An interactive and immersive system that dynamically adapts 2D projections to the location of a user's eyes. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2012. [ DOI | get the document via orbi | http ]

2013

  1. R. Phan-Ba, G. Delrue, S. Piérard, E. Lommers, P. Calay, M. Van Droogenbroeck, and V. Delvaux. Influence of the mode of walk on walking speed in multiple sclerosis: are you walking comfortably? In Twenty-third meeting of the European Neurological Society, Barcelona, Spain, June 2013. [ get the document via orbi ]
  2. S. Azrour. Caractérisation des troubles de la marche par apprentissage automatique : détermination de scores adaptés à la sclérose en plaques à partir de données clinimétriques. Master's thesis, University of Liège, Belgium, 2013.
  3. A. Giet. Création et validation multimodale d'une échelle mesurant la qualité de la kinésithérapie et de l'activité physique chez les personnes souffrant de sclérose en plaques. Master's thesis, University of Liège, Belgium, 2013.
  4. R. Phan-Ba. Multimodal evaluation of gait alterations in persons with multiple sclerosis. PhD thesis, University of Liège, Belgium, September 2013.
  5. S. Piérard, R. Phan-Ba, V. Delvaux, P. Maquet, and M. Van Droogenbroeck. GAIMS: a powerful gait analysis system satisfying the constraints of clinical routine. Multiple Sclerosis Journal, 19(S1):359, October 2013. Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P800. [ get the document via orbi ]
  6. R. Phan-Ba, S. Piérard, E. Lommers, G. Delrue, P. Calay, M. Van Droogenbroeck, V. Delvaux, and P. Maquet. Relative contribution of walking speed, ataxia and gait asymmetry to the composition of gait in multiple sclerosis. Multiple Sclerosis Journal, 19(S1):261, October 2013. Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P608. [ get the document via orbi ]
  7. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. GAIMS: A reliable non-intrusive gait measuring system. ERCIM News, 95:26-27, October 2013. [ get the document via orbi ]
  8. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Using gait measuring system (GAIMS) to discriminate patients with multiple sclerosis from healthy persons. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [ get the document via orbi ]
  9. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Measuring feet trajectories: challenges and applications. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [ get the document via orbi ]

2014

  1. S. Azrour, S. Piérard, P. Geurts, and M. Van Droogenbroeck. Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 649-654, Bruges, Belgium, April 2014. [ get the document via orbi ]
  2. S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Machine learning techniques to assess the performance of a gait analysis system. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 419-424, Bruges, Belgium, April 2014. [ get the document via orbi ]
  3. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Design of a reliable processing pipeline for the non-intrusive measurement of feet trajectories with lasers. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 4432-4436, Florence, Italy, May 2014. [ DOI | get the document via orbi | http ]
  4. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In BIOMEDICA (the European Life Sciences Summit), Maastricht, The Netherlands, June 2014. [ get the document via orbi ]
  5. S. Lejeune. Reconnaissance de personnes sur base des caractéristiques de la marche observées avec des capteurs laser. Master's thesis, University of Liège, Belgium, 2014.
  6. S. Piérard, S. Azrour, R. Phan-Ba, V. Delvaux, P. Maquet, and M. Van Droogenbroeck. Diagnosing multiple sclerosis with a gait measuring system, an analysis of the motor fatigue, and machine learning. Multiple Sclerosis Journal, 20(S1):171, September 2014. Proceedings of ACTRIMS/ECTRIMS 2014 (Boston, USA), P232. [ get the document via orbi ]

2015

  1. S. Piérard, R. Phan-Ba, A. Giet, and M. Van Droogenbroeck. GAIMS: a tool specifically developed for the clinical gait analysis of patients with multiple sclerosis. Multiple Sclerosis Journal, 21(4):498-499, April 2015. Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2014 (Milano, Italy). [ get the document via orbi | http ]
  2. R. Phan-Ba, S. Piérard, A. Giet, and M. Van Droogenbroeck. Individual variation of gait characteristics along a 500 meter walk in people with multiple sclerosis and healthy volunteers. Multiple Sclerosis Journal, 21(4):532-533, April 2015. Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2014 (Milano, Italy). [ get the document via orbi | http ]
  3. A. Giet, S. Piérard, M. Foidart-Dessalle, M. Van Droogenbroeck, and R. Phan-Ba. Assessment of physical therapy and activity in multiple sclerosis (APTAIMS): development, reliability and validity of a new questionnaire. Multiple Sclerosis Journal, 21(4):531, April 2015. Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2014 (Milano, Italy). [ get the document via orbi | http ]
  4. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Defining a score based on gait analysis for the longitudinal follow-up of MS patients. Multiple Sclerosis Journal, 23(S11):408-409, September 2015. Proceedings of ECTRIMS 2015 (Barcelona, Spain), P817. [ get the document via orbi | http ]
  5. S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Understanding how people with MS get tired while walking. Multiple Sclerosis Journal, 23(S11):406, September 2015. Proceedings of ECTRIMS 2015 (Barcelona, Spain), P812 (selected as a "top score poster"). [ get the document via orbi | http ]

2016

  1. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In Human Motion Analysis for Healthcare Applications, London, UK, May 2016. [ http ]
  2. S. Piérard and M. Van Droogenbroeck. What are the optimal walking tests to assess disability progression? In ECTRIMS-RIMS, London, UK, September 2016. [ get the document via orbi | http ]

GAIMS has been cited in ...

  1. A. Murro de-la Herran, B. Garcia-Zapirain, and A. Mendez-Zorrilla. Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical application. Sensors, 14(2):3362-3394, 2014. [ DOI ]