Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition
Mohamed Hassan · DSpace at AUS (American University of Sharjah) · 2017
A Master of Science thesis in Mechatronics Engineering by Mohamed Hassan entitled, "Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition," submitted in May 2017. Thesis advisor is Dr. Khaled Assaleh and thesis co-advisor is Dr. Tamer Shanableh. Soft and hard copy available.