E-Learning for fingertip canvas
This work introduces a finger-mounted bead designed for gesture-based digital e-learning, offering a more intuitive and engaging alternative to current tools. The system leverages natural hand and finger movements to improve interaction with digital content, overcoming limitations of traditional e-learning platforms, which often rely on fixed interfaces and limited input methods. Key challenges include accurate gesture recognition, real-time rendering, and tactile feedback. The proposed solution aims to create a more dynamic, personalized, and immersive learning experience, particularly for artists, by enabling fluid gestures and more natural creative expression. By addressing these technical hurdles, the finger-mounted bead could transform digital learning and creative environments.
Authors
- Sudarshan Naik (ORCID: https://orcid.org/0009-0006-0322-4028)
- Anuja Shinde -
- Shruti Sonakul -
- Sahil Savale -
- Sachin Ahankari -
Publication Details
- Journal
- International Journal For Multidisciplinary Research
- Published
- 2025-04-01
- DOI
- https://doi.org/10.36948/ijfmr.2025.v07i02.30771
- Primary Topic
- Digital Imaging in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 0.00