Skip to Main content Skip to Navigation
Journal articles

PRAXIS: Towards automatic cognitive assessment using gesture recognition

Abstract : Praxis test is a gesture-based diagnostic test which has been accepted as diagnostically indicative of cortical pathologies such as Alzheimer's disease. Despite being simple, this test is oftentimes skipped by the clinicians. In this paper, we propose a novel framework to investigate the potential of static and dynamic upper-body gestures based on the Praxis test and their potential in a medical framework to automatize the test procedures for computer-assisted cognitive assessment of older adults. In order to carry out gesture recognition as well as correctness assessment of the performances we have recolected a novel challenging RGB-D gesture video dataset recorded by Kinect v2, which contains 29 specific gestures suggested by clinicians and recorded from both experts and patients performing the gesture set. Moreover, we propose a framework to learn the dynamics of upper-body gestures, considering the videos as sequences of short-term clips of gestures. Our approach first uses body part detection to extract image patches surrounding the hands and then, by means of a fine-tuned convolutional neural network (CNN) model, it learns deep hand features which are then linked to a long short-term memory to capture the temporal dependencies between video frames. We report the results of four developed methods using different modalities. The experiments show effectiveness of our deep learning based approach in gesture recognition and performance assessment tasks. Satisfaction of clinicians from the assessment reports indicates the impact of framework corresponding to the diagnosis. Keywords: Human computer interaction, Computer assisted diagnosis, cybercare industry applications, human factors engineering in medicine and biology, medical services, monitoring, patient monitoring computers and information processing, pattern recognition.
Document type :
Journal articles
Complete list of metadata

Cited literature [81 references]  Display  Hide  Download

https://hal.inria.fr/hal-01849275
Contributor : Farhood Negin <>
Submitted on : Wednesday, July 25, 2018 - 5:59:41 PM
Last modification on : Tuesday, June 22, 2021 - 6:10:02 PM
Long-term archiving on: : Friday, October 26, 2018 - 3:46:37 PM

File

farhood-expert-systems2018.pdf
Files produced by the author(s)

Identifiers

Citation

Farhood Negin, Pau Rodriguez, Michal Koperski, Adlen Kerboua, Jordi Gonzàlez, et al.. PRAXIS: Towards automatic cognitive assessment using gesture recognition. Expert Systems with Applications, Elsevier, 2018, 106, pp.21 - 35. ⟨10.1016/j.eswa.2018.03.063⟩. ⟨hal-01849275⟩

Share

Metrics

Record views

320

Files downloads

768