Development of Visual-based Rehabilitation Using Sensors for Stroke Patient

Traditional method of teaching poses two significant problems – not all students learn alike, and the physical interaction needed poses health risk during pandemic. As such, for these students, an alternative learning method such as those that uses natural user interface (NUI) can be considered. This method would be beneficial for kinesthetic type learners and can be conducted remotely. The alternative learning program is a complementary method, thus still incorporates the current subject syllabus. However, the delivery, learning and execution of the syllabus will be varied. In minimizing these gaps found in the current Malaysian education system, a conceptual framework utilizing Microsoft Kinect is proposed. Since this is a new framework, a pilot study is needed to gauge the validity and reliability of the survey instrument prior to embarking on further study on the outcome of the alternative learning program. Face and content validity conducted on the questionnaire were found to be clear, not confusing, and measures what the questions were supposed to measure. Reliability measured using Cronbach’s Alpha indicated values above the acceptable range. Thus, these results indicate that the instrument is valid and reliable to be applied for data collection in the future study to assess the intention of Malaysian students to adopt an alternative medium for learning.

Section: ) Utautmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Validity and Reliability of a Conceptual Framework on Enhancing Learning for Students via Kinect: A Pilot Test

Too,

Lau,

Tan

2024

“…Moreover, to display a virtual object to the marker (such as a QR code or 2D image) in the real world through the camera, a Vuforia engine is needed. It is an software development kit (SDK) for smartphone that can help determine which marker is suitable to display virtual objects and track planar images in realtime [18].…”

Section: B Unity and Vuforiamentioning

confidence: 99%

Development of Augmented Reality Based Applications for Brain Memory Training

Lim

Toa

Rao

et al. 2023

This paper presents the development of augmented reality (AR) based brain memory training to improve the memorizing capability of the student. The AR visual memory training application is built on top of the mobile phone by utilizing the Unity and Vuforia platform. The developed visual memory test is a flipping card test that can measure a person’s memory capability to retain visual images and spatial perception in the mind. In this study, it is aimed to prove that AR technology is suitable to be employed in the education field. The results are justified based on the visual memory test score and the engaging level of the user computed from the electroencephalogram (EEG) signal. The results are assessed by comparing with the physical mode and computer-based mode. As result, it is shown that the student performed better in the AR-based visual memory test compared to physical and computer-based modes. Besides, the EEG signals also show that students are more engaged and attentive while using AR technology.

“…Additionally, the battery can be recharged through a solar panel. Sonar sensors are deployed for obstacle detection along the robot's path [18].…”

Section: Sherly Stalin Et Al Introduced An Innovative Grass Cutter In...mentioning

confidence: 99%

Design and Development of an Arduino Based Automated Solar Grass Trimmer

Thangavel,

Venugopal,

Immanuel

et al. 2024

This paper focuses on the design of an Arduino-based Automated Solar Grass Trimmer with a primary emphasis on achieving high operational efficiency. A solar panel is utilized to automatically charge the battery when its level is low. A voltage level indicator circuit is incorporated to assess various battery voltage levels. The prototype integrates ultrasonic sensors for obstacle detection and inductive sensors for boundary detection. To ensure safe operation in the field, a perimeter signal generator circuit is constructed for boundary detection using inductive sensors. Ultrasonic sensors are employed for obstacle detection. The paper introduces an algorithm for detecting obstacles, boundaries, and other impediments in the path of the solar grass trimmer, illustrated through a comprehensive flowchart. Detailed discussions on the voltage level indicator circuit and boundary detection circuits are provided. The implemented algorithm, utilizing an Arduino microcontroller, is tested in the field, and the results are explained in the paper. Tabulated data from the prototype testing, specifically focusing on boundary detection and obstacle detection, demonstrate satisfactory performance.