IoT Based Augmented Reality System of Human Heart: An Android Application

Agrawal, Diptanshu; Mane, Sunil B.; Pacharne, Apoorva; Tiwari, Snehal

doi:10.1109/icoei.2018.8553807

Cited by 8 publications

(15 citation statements)

References 5 publications

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“…When an interaction device recognizes an identifier by looking at an IoT device ( Figure 4a) or another entity (Figure 4b), the MI system sends the data collected from the IoT device to the interaction device. Data that are sent by the IoT device are presented by two-dimensional (2D) or three-dimensional (3D) graphical AR content [35,36] and are used for signaling a sound cue [37,38]. The data displayed on an interaction device is changed when an agent manipulates either an IoT device (Figure 4a) or another entity (Figure 4b).…”

Section: Ar For Data Presentationmentioning

confidence: 99%

“…An interaction device is a platform that visualizes AR content to the agent and it may also receive input from the agent. The interaction device can have many forms, such as a mobile device (e.g., smartphone, tablet PC) [10,11,[33][34][35][36][37]39,40,42,44,46,48,[50][51][52], HMD [12,38,41,45,49], PC/TV monitor [41,43,47], and projector [41].…”

Section: Interaction Devicesmentioning

confidence: 99%

“…The first type of commonly used interaction is that in which another entity is used as an identifier for AR. This can be implemented with either a printed AR marker [34,37,39,40], image/object recognition [38,41,42,47,49], or spatial data [45]. Another type of interaction is the manipulation of another entity by the agent.…”

Section: Another Entitymentioning

confidence: 99%

“…In order to visualize AR content, an agent moves the camera of an interaction device to locate an identifier within the camera view. The identifier can be either printed images used as AR markers [10,[34][35][36]39,40,48], physical objects that can be recognized using object/image recognition [11,12,33,34,37,38,41,42,44,46,[49][50][51][52], or environments for using spatial data [39,45]. The second identified input source is the camera view for capturing an agent's hands.…”

Section: Inputmentioning

confidence: 99%

“…Another output source is the sound effects of AR content. This was exemplified by Agrawal et al [37], who developed a mobile application that displays an animated 3D model of the human heart. This application also plays the sound of a heartbeat, which is synchronized with the real heart rate of the agent.…”

Section: Outputmentioning

confidence: 99%

See 4 more Smart Citations

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

2021

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Technology developments have expanded the diversity of interaction modalities that can be used by an agent (either a human or machine) to interact with a computer system. This expansion has created the need for more natural and user-friendly interfaces in order to achieve effective user experience and usability. More than one modality can be provided to an agent for interaction with a system to accomplish this goal, which is referred to as a multimodal interaction (MI) system. The Internet of Things (IoT) and augmented reality (AR) are popular technologies that allow interaction systems to combine the real-world context of the agent and immersive AR content. However, although MI systems have been extensively studied, there are only several studies that reviewed MI systems that used IoT and AR. Therefore, this paper presents an in-depth review of studies that proposed various MI systems utilizing IoT and AR. A total of 23 studies were identified and analyzed through a rigorous systematic literature review protocol. The results of our analysis of MI system architectures, the relationship between system components, input/output interaction modalities, and open research challenges are presented and discussed to summarize the findings and identify future research and development avenues for researchers and MI developers.

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Section: Ar For Data Presentationmentioning

confidence: 99%

Section: Interaction Devicesmentioning

confidence: 99%

Section: Another Entitymentioning

confidence: 99%

Section: Inputmentioning

confidence: 99%

Section: Outputmentioning

confidence: 99%

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Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

2021

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The Role of Augmented Reality and the Internet of Things in the Management of University Cultural Heritage. A Case Study: The Prat Collection

Batista

Labrada

Suárez

et al. 2023

2023 IEEE 20th Consumer Communications &Amp; Networking Conference (CCNC)

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The integration of various technologies in a common goal is carried out in different branches of science. The management of the heritage found in university museums is of vital importance for the culture of students, teaching and the persistence of the historical memory of the institution. The aim of this work is to propose a system that integrates the Internet of Things (IoT) and Augmented Reality (AR) that allows specialists to manage this collection more efficiently with the use of these technologies. To achieve this goal, interviews and data collection on the collection, analysis of the state of the art on the application of these technologies in museums and the possible expected results and the innovative nature of the project have been shown.

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Interactive Augmented Reality For The Depth Of An Object Using The Model-Based Occlusion Method

Hidayat¹,

Astuti²

2020

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)

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IoT Based Augmented Reality System of Human Heart: An Android Application

Cited by 8 publications

References 5 publications

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

The Role of Augmented Reality and the Internet of Things in the Management of University Cultural Heritage. A Case Study: The Prat Collection

Interactive Augmented Reality For The Depth Of An Object Using The Model-Based Occlusion Method

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