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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2026 / Cilt: 13 Sayı: 1

A Novel Fuzzy Logic Based Hand Gesture Recognition System

Harun Sümbül(Ondokuz mayis universitesi)0000-0001-5135-3410
Sayfa
76–83
Yayın Tarihi
2025-03-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

According to the results, the movements (97.5%) were detected successfully.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this proposed study, a Fuzzy Logic System (FLS) was developed to classify and detect hand movements.
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Temel Bulgular & Veri:Five input variables (Flex1-5) and one output variable (Sign) were used to create a rule base with 94 rules.
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Sonuç & Katkı:According to the results, the movements (97.5%) were detected successfully.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Flex sensor · fuzzy logic · hand gesture recognition

Abstract

In this proposed study, a Fuzzy Logic System (FLS) was developed to classify and detect hand movements. The designed FLS system consists of a Fuzzifier, Inference Engine, Knowledge Base, and Defuzzifier. The Mamdani technique was used as the Inference Engine, and the centroid method was used for Defuzzification. Five input variables (Flex1-5) and one output variable (Sign) were used to create a rule base with 94 rules. A sensor array was placed on a glove to generate data, and a data collection circuit was established. Movements were performed through this circuit to create the rule bases. A total of 15.030 data points were analyzed to develop the FLS. According to the results, the movements (97.5%) were detected successfully.

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Bu Makaleye Atıf Yap

Sümbül, H. (2025). A Novel Fuzzy Logic Based Hand Gesture Recognition System. Balkan Journal of Electrical and Computer Engineering, Cilt: 13 Sayı: 1, 76–83. https://doi.org/10.17694/bajece.1519693

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Kaynakça (17)

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