Перегляд за Автор "Verkhovska, A."

Зараз показуємо 1 - 1 з 1
  • Ескіз
    ДокументВідкритий доступ
    Comparative Evaluation of Modern Computer Vision Models for Grasp Type Determination in Bionic Prostheses
    (КПІ ім. Ігоря Сікорського, 2026) Oliinyk, V.; Verkhovska, A.
    This research presents a comprehensive evaluation of some of the modern computer vision models for grasp type determination in bionic prostheses. The study leverages pretrained models, including CLIP and ResNet, with zero-shot and few-shot learning strategies to classify grasp types from object images. Several classification approaches, including Matching Networks, Prototypical Networks, and K-Nearest Neighbors, were evaluated in terms of top-1 and top-3 accuracy, as well as their inference time. The developed solution demonstrates promising results in limited-data settings and offers practical value for integration into modern intelligent prosthetic devices. We demonstrated the effectiveness of zero-shot and few-shot approaches for grasp type recognition. The simple zero-shot CLIP model in combination with K-Nearest Neighbors algorithm achieved the highest top-3 accuracy of 85%, exhibiting strong adaptability to previously unseen objects. This makes it particularly suitable for deployment in real-time, dynamic environments.