1. Assessing medical training skills via eye and head movementsKayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar, Matjaž Kljun, Iztok Devetak, Lili Steblovnik, 2025, published scientific conference contribution Abstract: We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessions. We calculated key metrics, including pupillary response rate, fixation duration, or angular velocity. Our findings indicate that eye and head tracking can effectively differentiate between trained and untrained practitioners, particularly during labor tasks. For example, head-related features achieved an F1 score of 0.85 and AUC of 0.86, whereas pupil-related features achieved F1 score of 0.77 and AUC of 0.85. The results lay the groundwork for computational models that support implicit skill assessment and training in clinical settings by using commodity eye-tracking glasses as a complementary device to more traditional evaluation methods such as subjective scores.
Keywords: eye movemens, head movements, simulation training
Published in RUP: 23.06.2025; Views: 1264; Downloads: 17
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2. No interface, no problem : gesture recognition on physical objects using radar sensingNuwan Attygalle, Luis A. Leiva, Matjaž Kljun, Christian Sandor, Alexander Plopski, Hirokazu Kato, Klen Čopič Pucihar, 2021, original scientific article Keywords: radar sensing, gesture recognition, deep learning
Published in RUP: 18.10.2021; Views: 3516; Downloads: 26
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3. The wearable radar : sensing gestures through fabricsLuis A. Leiva, Matjaž Kljun, Christian Sandor, Klen Čopič Pucihar, 2020, published scientific conference contribution Keywords: radar, wearables, fabrics, Soli, gestures, deep learning
Published in RUP: 06.05.2021; Views: 3610; Downloads: 36
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4. The missing interface : micro-gestures on augmented objectsKlen Čopič Pucihar, Christian Sandor, Matjaž Kljun, Wolfgang Huerst, Alexander Plopski, Takafumi Taketomi, Hirokazu Kato, Luis A. Leiva, 2019, published scientific conference contribution Keywords: augmented reality, Google Soli, millimeter-wave radar, micro-gesture recognition
Published in RUP: 22.05.2019; Views: 4076; Downloads: 126
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