Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods
Recent advances in technology bring about novel operating environments where the role of
human participants is reduced to passive observation. While opening new frontiers in …
human participants is reduced to passive observation. While opening new frontiers in …
Production fault simulation and forecasting from time series data with machine learning in glove textile industry
M Seçkin, AÇ Seçkin, A Coşkun - Journal of Engineered …, 2019 - journals.sagepub.com
Although textile production is heavily automation-based, it is viewed as a virgin area with
regard to Industry 4.0. When the developments are integrated into the textile sector …
regard to Industry 4.0. When the developments are integrated into the textile sector …
A human–computer interface replacing mouse and keyboard for individuals with limited upper limb mobility
People with physical disabilities in their upper extremities face serious issues in using
classical input devices due to lacking movement possibilities and precision. This article …
classical input devices due to lacking movement possibilities and precision. This article …
Real time human computer interaction using facial gestures
R Lal, S Chiddarwar - 2019 10th International Conference on …, 2019 - ieeexplore.ieee.org
The main focus of this paper is to advance the study of controlling a personal computer
using various face gestures and movements captured using RGB webcam in real time. This …
using various face gestures and movements captured using RGB webcam in real time. This …
Labeling System with EEG, EMG, and IMU for Visual Training of Autonomous Vehicles
AÇ Seçkin - Bilişim Teknolojileri Dergisi, 2019 - dergipark.org.tr
Autonomous vehicles are tools that make decisions and take decisions by perceiving their
environment. Today, autonomous vehicles are also used in traffic in some countries. Various …
environment. Today, autonomous vehicles are also used in traffic in some countries. Various …
[PDF][PDF] Çoklu robotlarda işbirlikli davranışların karşılaştırılması ve bulanık mantık yaklaşımı
Günümüzde pek çok karmaşık görev için donanım ve çalışma hızı açısından hantal ve
maliyetli robotik sistemler kullanılmaktadır. Pahalı ve hantal bir robot yerine daha küçük ve …
maliyetli robotik sistemler kullanılmaktadır. Pahalı ve hantal bir robot yerine daha küçük ve …
ANFIS (Adaptive Neuro-Fuzzy Inference System) Sebagai Metode Klastering Sinyal Electrooculography Untuk Kendali Alternatif Kursi Roda Pintar
B MARDIAH - 2020 - scholar.unand.ac.id
Perkembangan teknologi kursi roda telah sampai pada lahirnya Intelligent Wheelchair,
dimana kursi roda bergerak menggunakan motor elektrik yang dinavigasikan oleh …
dimana kursi roda bergerak menggunakan motor elektrik yang dinavigasikan oleh …
Comparison of Cooperative Behaviors in Multiple Robots and Fuzzy Logic Approach
Çoklu robotlarda işbirlikli davranışların karşılaştırılması ve bulanık mantık yaklaşımı
Comparison of cooperati Page 1 POLİTEKNİK DERGİSİ JOURNAL of POLYTECHNIC ISSN:1302-0900 …
Comparison of cooperati Page 1 POLİTEKNİK DERGİSİ JOURNAL of POLYTECHNIC ISSN:1302-0900 …
[引用][C] Makine öğrenmesi yöntemleri kullanılarak EEG verisinden zihinsel dikkat durumu tespiti
M Kaya - Fen Bilimleri Enstitüsü