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Nadia Magnenat-Thalmann

4 accepted papers

2026

SHands: A Multi-View Dataset and Benchmark for Surgical Hand-Gesture and Error Recognition Toward Medical Training

CVPR 2026

In surgical training for medical students, proficiency development relies on expert-led skill assessment, which is costly, time-limited, difficult to scale, and its expertise remains confined to institutions with available specialists. Automated AI-based assessment offers a viable alternative, but p

Cited by 0SourceScholar
2021

Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design

RA-L 2021

Most current anthropomorphicrobotic hands can realize part of the human hand functions, particularly for object grasping. However, due to the complexity of the human hand, few current designs target at daily object manipulations, even for simple actions like rotating a pen. To tackle this problem, w

Cited by 14SourceScholar
2018

Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals

ICASSP 2018accepted

Negative symptoms of schizophrenia are often associated with the blunting of emotional affect which creates a serious impediment in the daily functioning of the patients. Affective prosody is almost always adversely impacted in such cases, and is known to exhibit itself through the low-level acousti…

Cited by 0SourceScholar
2016

Non-verbal speech analysis of interviews with schizophrenic patients

ICASSP 2016accepted

Negative symptoms in schizophrenia are associated with significant burden and functional impairment, especially speech production. In clinical practice today, there are no robust treatments for negative symptoms and one obstacle surrounding its research is the lack of an objective measure. To this e…

Cited by 0SourceScholar