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1.
Real-time gesture transmission with a robotic hand : embodied signals for non-verbal remote communication
Lea Pajnič, Matjaž Kljun, Anuradhi Maheshya W. Weerasinghe Arachchillage, Klen Čopič Pucihar, 2025, objavljeni znanstveni prispevek na konferenci

Opis: This work explores how computer vision and robotics can support remote, gesture-based embodied signals for expressing presence and emotion in remote communication. We present an initial proof-of-concept in which users interact through robotic hands placed on their desks: one user’s hand gestures are captured in real time by a camera, transmitted over a network, and reproduced by a robotic hand at the remote location. The prototype uses the InMoov robotic hand and MediaPipe Hands for gesture tracking across varied lighting conditions, viewing angles, and backgrounds. Our preliminary tests demonstrate that gestures can be reliably recognised and consistently reproduced through stable network communication. While still at an early stage, this project illustrates the potential of combining affordable robotics with computer vision to create accessible alternatives to voice communication and new forms of remote communication.
Ključne besede: robotic hand, gesture transmission, embodied signals, non-verbal communication, remote communication, computer vision
Objavljeno v RUP: 30.01.2026; Ogledov: 341; Prenosov: 3
.pdf Celotno besedilo (642,14 KB)

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ImproVisAR : designing augmented reality piano roll for teaching improvisation
Jordan Aiko Deja, Sandi Štor, Ilonka Pucihar, Anuradhi Maheshya W. Weerasinghe Arachchillage, Rafael Marco Balbin, Klen Čopič Pucihar, Matjaž Kljun, 2025, izvirni znanstveni članek

Opis: Improvisation is an important skill in music instrument learning, but remains a less-taught topic in traditional piano education. To improvise effectively, learners must develop musical vocabulary, creative confidence, and comfort in performance. These demands make piano improvisation a complex teaching challenge where technology interventions may offer sup- port. Prior short-term studies on augmented piano roll visualisations have shown promise for teaching sight-reading and motor coordination in novice students. However, how such approaches can support advanced learners in acquisition of improvisational skills remains under-explored. To address this gap, we present ImproVisAR, an interactive piano training system that teaches improvisation through augmented piano roll visualisations. Concepts and tools derived from a co- design process with improvisation experts are integrated as structured learning modes. We validated the system through a four-day controlled study (n = 6) comparing an AR-based condition with a traditional sheet music condition following a mixed-methods approach to data analysis. We collected and analysed subjective ratings of cognitive load, creativity support, user-experience, expert evaluation of performances, interaction logs, and qualitative insights collected from daily post-study interviews. Our findings show that participants experienced reduced cognitive load over time, sustained engage- ment across sessions, and AR participants showed higher expert-rated scores, particularly in rhythm, flow, musicality and overall musical impression. Participants also reported greater immersion, freedom to create musical content and motiva- tion to continue playing. We discuss these findings in relation to user experience and creativity support, and offer design recommendations for AR systems that aim to teach complex, expressive skills such as musical improvisation.
Ključne besede: augmented reality, projections, piano, jazz, improvisation, training system
Objavljeno v RUP: 09.09.2025; Ogledov: 761; Prenosov: 11
.pdf Celotno besedilo (2,68 MB)
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3.
Remote control of robotic hand with computer vision : final project paper
Lea Pajnič, 2025, diplomsko delo

Ključne besede: computer vision, robotic hand, Arduino, remote control
Objavljeno v RUP: 02.08.2025; Ogledov: 910; Prenosov: 16
.pdf Celotno besedilo (651,83 KB)

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