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Hand Detection on HSV Color Space Model and Syntactic Extraction of Fingertip by Thinning Method for Hand Gesture Recognition Aristyagama, Yusfia Hafid; Liantoni, Febri; Prakisya, Nurcahya Pradana Taufik
IJIE (Indonesian Journal of Informatics Education) Vol 5, No 2 (2021): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v5i2.51693

Abstract

In the discussion of computer vision, detection and recognition are an interesting topic to discuss. Basically, advanced computer vision technology requires a high-level interaction method above the text-based console interaction. Hand detection and gesture recognition is one of the interaction cases in computer vision. In this study, an experiment of hand detection and syntactic hand gesture recognition method are discussed. HSV (Hue Saturation Value) space color model is used as the basis of hand detection and segmentation. Then, the thinning method is used to get endpoint features of each fingertip.The proposed design is designed to meet with real-time video processing. The experiment intended to find some issues usually happened when the ZS thinning method is used to gain the detection and recognition. The result shows that the proposed design able to detect and recognize some gesture, but unstable hand movement may lead into a fault called by extra endpoint. In this research, extra endpoints are considered as a challenge that must be anticipated when using thinning method especially ZS algorithm to perform syntactic hand gesture recognition.
Pandemic and Online Learning at Engineering Colleges Ayuningrum, Erica Devi; Wihidayat, Endar Suprih; Liantoni, Febri
IJIE (Indonesian Journal of Informatics Education) Vol 7, No 1 (2023): July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v7i1.63440

Abstract

The Covid-19 pandemic has resulted in social restrictions being implemented in all sectors of life, including the scope of education. The closure of schools, higher education, and other educational institutions resulted in face-to-face learning needing to be carried out as usual. Therefore, online learning is a learning strategy that can be applied in times of crisis like this. Application of online learning, which is carried out without planning and suddenly makes several obstacles arise when this learning is carried out. The purpose of this study is to find out what problems arise when implementing online learning in engineering universities during a pandemic and what solutions can be applied to overcome them. This research is a systematic literature review research with keywords used, namely "online learning" or "online course" and "covid-19" or "pandemic" or "Covid 19". In searching articles, articles that are indexed in the Scopus database are used and are limited to publication years, namely from 2019-2022 (during the COVID-19 pandemic). This study used descriptive analysis with secondary data sources. From the results of this study, the application of online learning, for now, is considered the best solution so that learning can still be carried out. But besides that, there are still many obstacles found in its application due to the need for careful planning and preparation for its implementation. Other obstacles are both technically, facilities, and infrastructure, as well as from the human resources themselves. It is hoped that in the future, the solutions found can add insight and be used as a reference in the application of online learning to be effective and better.