This paper presents the use of a mobile augmented reality for navigation and visualization of Bukit Brown Cemetery (BBC). Natural feature tracking is used to recognize each tombstone to eliminate the need of physical modifications to each grave. GPSbased terrain clustering techniques is applied to reduce the computation time and cost which overcomes linear search of whole natural feature data set against each video frame. The system will be used to visualize the heritage value of the cemetery and preserve important information about each tombstone in BBC.
Based on three constructs of alerts, care, and education, we describe the design and development of CuePBox, an instrumental pillbox, with a physical as well as a virtual entity, that aims to address needs for enhanced patient care, in the monitoring of medication adherence on a continuous basis. CuePBox will be facilitated by social media technologies that support patient-to-patient communities and patient-tohealthcare communities to exchange state-of-affairs information and testimonials, with advice and encouragement towards speedy recovery. The care component along with the alerts (audio, visual, and vibration) integrated within the CuePBox hopes to empower patients to manage their health conditions.
Origami (Paper-folding) is one of the main forms of paper-craft which has been appreciated by people from different cultures all over the world. However, it is still difficult for ordinary people to model the real-life objects and design their paper-folding patterns. In this paper we present "Snap-n-Fold", an origami-generating system based on real-life objects' structures captured by a camera. It is based on the algorithm which combines object extraction, structure skeletonization, and origami generation. Users only need to capture the desired object through the camera to create origami folding pattern. Snap-n-Fold can be implemented on both PC and mobile platforms such as iOS and Andriod, therefore users can model the real-life objects using origami by only taking a snap-shot of the objects anytime and anywhere.
ACM 978-1-4503-2474-8/14/04.Abstract In this paper, we present an enhanced virtual observation therapy (VOT) system to address challenges in medication adherence and the current observed therapy approach. The original approach requires both patient and healthcare worker to be physically collocated, which has several technical and practical challenges. Therefore, we developed a system that tracks the natural actions of the patient when they take medication, which provides a new experience for them. The system automates the process of recording a video of the patient's medication taking and uploads the video log to the hospital management system. In addition, the system provides instructions to the patient from start to end of the medication taking process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.