2013 IEEE 13th International Conference on Advanced Learning Technologies 2013
DOI: 10.1109/icalt.2013.134
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VECAR: Virtual English Classroom with Markerless Augmented Reality and Intuitive Gesture Interaction

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Cited by 9 publications
(5 citation statements)
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“…Therefore, the ease of use issues such as the hardware requirements and the acceptance of the technology have been addressed well. For the operation of virtual markers, gestures are used as methods of interaction based on previous research [58,59].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the ease of use issues such as the hardware requirements and the acceptance of the technology have been addressed well. For the operation of virtual markers, gestures are used as methods of interaction based on previous research [58,59].…”
Section: Discussionmentioning
confidence: 99%
“…Banyak jenis teknologi terkini yang dapat dimanfaatkan untuk pembelajaran, baik di dalam kelas maupun di luar kelas dimana salah satu yang saat ini sangat menjadi tren adalah AR (Bakar, Zulkifli, & Mohamed, 2011). Banyak sekali penelitian yang telah menyatakan, melalui penggunaan teknologi AR, baik yang dengan bantuan fitur chroma key maupun tidak, mampu meningkatkan kualitas pembelajaran (Tan Esther, Arshad, & Abdullah, 2015;Yang, Liao, & Shih, 2013) dan motivasi serta hasil belajar peserta didik (Georgiou & Kyza, 2018). Guna mendorong pendidik agar memiliki keterampilan penggunaan teknologi untuk pembelajaran, beberapa Kegiatan Pengabdian kepada Masyarakat yang serupa dengan kegiatan yang Tim Pengabdian lakukan ini juga telah terlaksana (Hidayat, Sutikno, Patmanthara, Kartikasari, & Firdaus, 2019;Sari dkk., 2020).…”
Section: Hasil and Pembahasanunclassified
“…Hand gestures are an effective way of interacting with computers but various issues are associated with their recognition and application due to limitations in sensing technologies, complex nature of gestures, and unrealistic interaction techniques. Different computer vision and image processing systems have been proposed for gesture recognition [21][22][23][24], with some recently available sensors such as Microsoft Kinect [24] and Leap Motion [25][26][27]. For touchless interaction in Augmented Reality (AR) fiducial markers placed on fingers were used [28,29], while some systems used computer vision techniques for the detection of hands and fingers in AR interaction [30,31].…”
Section: Introductionmentioning
confidence: 99%