Simulation-based augmented reality for sensor network development

2007 ◽  
Author(s):  
Ye Wen ◽  
Wei Zhang ◽  
Rich Wolski ◽  
Navraj Chohan
Keyword(s):  
Augmented Reality ◽  
Sensor Network ◽  
Network Development ◽  
Simulation Based

scholarly journals ARM/FPGA/I2C Sensor Network Development and Teaching Platform

2020 ◽  
Author(s):  
Antonio Mondragon ◽  
Prafull Purohit
Keyword(s):  
Sensor Network ◽  
Network Development ◽  
Teaching Platform

Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality

2018 ◽  
pp. 627-635
Author(s):  
Alvaro Luis Fraga ◽  
María Guadalupe Gramajo ◽  
Federico Trejo ◽  
Selena Garcia ◽  
Gustavo Juarez ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Computer Network ◽  
Simulation Based

scholarly journals A143 IMPACT OF A SIMULATION-BASED AUGMENTED REALITY CURRICULUM ON POLYPECTOMY SKILLS AMONG NOVICE ENDOSCOPISTS: A RANDOMIZED CONTROLLED TRIAL

2020 ◽  
Vol 3 (Supplement_1) ◽  
pp. 5-7
Author(s):  
R Khan ◽  
M A Scaffidi ◽  
N Gimpaya ◽  
D Tham ◽  
M Atalla ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Ad Hoc ◽  
Controlled Trial ◽  
Skill Training ◽  
Control Group ◽  
Small Group Teaching ◽  
Significant Difference ◽  
Simulation Based ◽  
Free Environment ◽  
The Impact

Abstract Background Polypectomy is an essential endoscopic skill. Training in polypectomy has been identified as a major deficiency for endoscopists worldwide as polypectomy occurs ad hoc during a colonoscopy when a polyp is detected, and a lack of standardized curricula. Augmented reality (AR), which superimposes computer-generated images on a user’s view of the world, can address these gaps by standardizing encounters with polyps while completing simulated procedures and enabling polypectomy-specific teaching. Aims Evaluate the impact of a simulation-based augmented reality curriculum on polypectomy performance among novice endoscopists. Methods This study includes two cohorts of participants from 2019 to 2020. In 2019, participants were randomized into either: (1) a control curriculum, involving 6 hours of simulation-based training (SBT) supplemented by expert feedback, interlaced with 4 hours of small group teaching on the theory of colonoscopy; or (2) the augmented reality curriculum (ARC), in involving the same curriculum with integrated AR, wherein participants engaged with an AR-enhanced video demonstrating relevant therapeutic and pathologic details during polypectomy. The SBT for all participants involved a progressive curriculum starting on a bench-top model and then moving to the EndoVR® virtual reality simulator. The primary outcome was polypectomy-specific performance using the Direct Observation of Polypectomy Skills (DOPyS) tool during a simulated polypectomy after training, with a maximum score of 100. Results Demographic characteristics are summarized in Table. In 2019, 21 novice endoscopists were enrolled. Immediately after training, the mean DOPyS score among ARC group participants was 76.2 (SD=17.9) compared to 71.8 (SD=13.2) among control group participants (Figure). In this interim analysis, there was no significant difference between groups. Data analysis will be completed after 2020 participants complete the study. Conclusions Interim results show a trend towards improved polypectomy performance with no significant difference. The results of this study have the potential to impact polypectomy education among novices. Simulation-based AR interventions may allow learners to progress towards achieving competency in polypectomy in a risk-free environment prior to first patient contact. Funding Agencies None

scholarly journals Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality

Sensors ◽  
2014 ◽  
Vol 14 (9) ◽  
pp. 17212-17234 ◽  
Author(s):  
Fernando González ◽  
Osslan Villegas ◽  
Dulce Ramírez ◽  
Vianey Sánchez ◽  
Humberto Domínguez
Keyword(s):  
Wireless Sensor Network ◽  
Augmented Reality ◽  
Sensor Network ◽  
Patient Monitoring ◽  
Wireless Sensor ◽  
Mobile Augmented Reality ◽  
Remote Patient Monitoring ◽  
Multi Level ◽  
Remote Patient

Augmented Reality Training Platform for Neurosurgical Burr Hole Localization

2019 ◽  
Vol 04 (03n04) ◽  
pp. 1942001
Author(s):  
Zachary M. C. Baum ◽  
Andras Lasso ◽  
Sarah Ryan ◽  
Tamas Ungi ◽  
Emily Rae ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Burr Hole ◽  
Neurosurgical Training ◽  
Training Environment ◽  
Simulation Based ◽  
Standard Techniques ◽  
Hole Localization ◽  
Simulated Training

Augmented reality (AR) is used in neurosurgery to visualize lesions and plan procedures pre-operatively and intra-operatively, though its use has not been widely adopted in simulation-based neurosurgical training for the same tasks. This work defines metrics to determine performance in drill position and angle identification for neurosurgical training. The metrics were validated intra-operatively and in a simulated training environment, demonstrating that trainees identify drill position and angle faster and more accurately with AR compared with standard techniques. Training using AR and the proposed metrics stands to add value to neurosurgical curricula development.

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