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Fani Deligianni
Imperial College London
49Publications
14H-index
753Citations
Publications 49
Newest
Jan 1, 2019 in ICRA (International Conference on Robotics and Automation)
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 4 authors...
#1Daniel Freer (Imperial College London)H-Index: 1
#2Fani Deligianni (Imperial College London)H-Index: 14
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 0 authors...
Traditional methods of training a Brain-Computer Interface (BCI) on motor imagery (MI) data generally involve multiple intensive sessions. The initial sessions produce simple prompts to users, while later sessions additionally provide realtime feedback to users, allowing for human adaptation to take place. However, this protocol only permits the BCI to update between sessions, with little real-time evaluation of how the classifier has improved. To solve this problem, we propose an adaptive BCI t...
Mood disorders affect more than 300 million people worldwide and can cause devastating consequences. Elderly people and patients with neurological conditions are particularly susceptible to depression. Gait and body movements can be affected by mood disorders, and thus they can be used as a surrogate sign, as well as an objective index for pervasive monitoring of emotion and mood disorders in daily life. Here we review evidence that demonstrates the relationship between gait, emotions and mood d...
#1Fani Deligianni (Imperial College London)H-Index: 14
Last.Guang-Zhong YangH-Index: 55
view all 3 authors...
Gait adaptation is an important part of gait analysis and its neuronal origin and dynamics has been studied extensively. In neurorehabilitation, it is important as it perturbs neuronal dynamics and allows patients to restore some of their motor function. Exoskeletons and robotics of the lower limbs are increasingly used to facilitate rehabilitation as well as supporting daily function. Their efficiency and safety depends on how well can sense the human intention to move and adapt the gait accord...
Predictive modelling of functional connectomes from structural connectomes explores commonalities across multimodal imaging data. However, direct application of multivariate approaches such as sparse Canonical Correlation Analysis (sCCA) applies on the vectorised elements of functional connectivity across subjects and it does not guarantee that the predicted models of functional connectivity are Symmetric Positive Matrices (SPD). We suggest an elegant solution based on the transportation of the ...
#1Fani Deligianni (Imperial College London)H-Index: 14
#2Charence Wong (Imperial College London)H-Index: 6
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
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A two-step approach for modelling spatio-temporal GRFs distributions and foot angle.Fusion of e-AR signal and video to model the foot angle during key gait events.Invariant features of angular information from video recordings improve performance. Gait analysis plays an important role in several conditions, including the rehabilitation of patients with orthopaedic problems and the monitoring of neurological conditions, mental health problems and the well-being of elderly subjects. It also consti...
The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities. Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government agencies. The global AI market...
#1Xiao Gu (Fudan University)H-Index: 1
#2Fani Deligianni (Imperial College London)H-Index: 14
Last.Guang-Zhong Yang (Imperial College London)H-Index: 55
view all 5 authors...
Gait analysis is an important tool for monitoring and preventing injuries as well as to quantify functional decline in neurological diseases and elderly people. In most cases, it is more meaningful to monitor patients in natural living environments with low-end equipment such as cameras and wearable sensors. However, inertial sensors cannot provide enough details on angular dynamics. This paper presents a method that uses a single RGB camera to track the 2D joint coordinates with state-of-the-ar...
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