Carryover effects of calibration to visual and proprioceptive information on near field distance judgments in 3D user interaction

This paper discusses the design and experimental implementation of an integrated system for the delivery of health related services, based on different technologies and devices. The idea is to create a unique point of access for the user, towards both a cloud-based remote service for the consultation of medical reports, and a personal local service that allows to collect and display data from biomedical sensors, to manage user's reminders for medicines, and to monitor the patient's dietary habits. The proposed system employs suitable technologies to simplify the user interaction, such as Near Field Communications enabled devices, and a smart TV equipment. By this way, it is possible to effectively deliver telehealth services also to users who may be less familiar with technological equipments, such as older adults, or people living in rural communities. The experimental implementation proves the feasibility of the proposed service, and the possibility to gain users' adherence and compliance, through proper design criteria.

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Integrated Smart TV-Based Personal e-Health System

International Journal of E-Health and Medical Communications ◽

10.4018/ijehmc.2016010103 ◽

2016 ◽

Vol 7 (1) ◽

pp. 48-64 ◽

Cited By ~ 11

Author(s):

Laura Raffaeli ◽

Susanna Spinsante ◽

Ennio Gambi

Keyword(s):

Rural Communities ◽

Dietary Habits ◽

Near Field ◽

User Interaction ◽

Integrated System ◽

Related Services ◽

Biomedical Sensors ◽

Experimental Implementation ◽

Health Related ◽

Smart Tv

This paper discusses the design and experimental implementation of an integrated system for the delivery of health related services, based on different technologies and devices. The idea is to create a unique point of access for the user, towards both a cloud-based remote service for the consultation of medical reports, and a personal local service that allows to collect and display data from biomedical sensors, to manage user's reminders for medicines, and to monitor the patient's dietary habits. The proposed system employs suitable technologies to simplify the user interaction, such as Near Field Communications enabled devices, and a smart TV equipment. By this way, it is possible to effectively deliver telehealth services also to users who may be less familiar with technological equipments, such as older adults, or people living in rural communities. The experimental implementation proves the feasibility of the proposed service, and the possibility to gain users' adherence and compliance, through proper design criteria.

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A Comparative Analysis of 3D User Interaction: How to Move Virtual Objects in Mixed Reality

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) ◽

10.1109/vr46266.2020.00047 ◽

2020 ◽

Author(s):

Hyo Jeong Kang ◽

Jung-hye Shin ◽

Kevin Ponto

Keyword(s):

Comparative Analysis ◽

Mixed Reality ◽

User Interaction ◽

Virtual Objects ◽

3D User Interaction

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Investigating the impact of perturbed visual and proprioceptive information in near-field immersive virtual environment

2015 IEEE Virtual Reality (VR) ◽

10.1109/vr.2015.7223350 ◽

2015 ◽

Author(s):

Elham Ebrahimi ◽

Bliss M. Altenhoff ◽

Christopher C. Pagano ◽

Sabarish V. Babu ◽

J. Adam Jones

Keyword(s):

Virtual Environment ◽

Near Field ◽

Proprioceptive Information ◽

Immersive Virtual Environment ◽

The Impact

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High-speed optical 3D sensing and its applications

Advanced Optical Technologies ◽

10.1515/aot-2016-0047 ◽

2016 ◽

Vol 5 (5-6) ◽

Cited By ~ 6

Author(s):

Yoshihiro Watanabe

Keyword(s):

Real Time ◽

Surface Reconstruction ◽

High Speed ◽

User Interaction ◽

Real Time Systems ◽

Depth Images ◽

Sensing Technology ◽

3D Sensing ◽

3D User Interaction ◽

Time Systems

AbstractThis paper reviews high-speed optical 3D sensing technologies for obtaining the 3D shape of a target using a camera. The focusing speed is from 100 to 1000 fps, exceeding normal camera frame rates, which are typically 30 fps. In particular, contactless, active, and real-time systems are introduced. Also, three example applications of this type of sensing technology are introduced, including surface reconstruction from time-sequential depth images, high-speed 3D user interaction, and high-speed digital archiving.

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Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2)

Geoscientific Model Development ◽

10.5194/gmd-11-2813-2018 ◽

2018 ◽

Vol 11 (7) ◽

pp. 2813-2824 ◽

Cited By ~ 16

Author(s):

Benjamin Fasoli ◽

John C. Lin ◽

David R. Bowling ◽

Logan Mitchell ◽

Daniel Mendoza

Keyword(s):

Salt Lake ◽

Near Field ◽

Salt Lake City ◽

User Interaction ◽

Density Estimator ◽

Fine Scale ◽

Mixing Depth ◽

Lagrangian Transport ◽

Spatially Distributed ◽

Stochastic Time

Abstract. The Stochastic Time-Inverted Lagrangian Transport (STILT) model is comprised of a compiled Fortran executable that carries out advection and dispersion calculations as well as a higher-level code layer for simulation control and user interaction, written in the open-source data analysis language R. We introduce modifications to the STILT-R code base with the aim to improve the model's applicability to fine-scale (< 1 km) trace gas measurement studies. The changes facilitate placement of spatially distributed receptors and provide high-level methods for single- and multi-node parallelism. We present a kernel density estimator to calculate influence footprints and demonstrate improvements over prior methods. Vertical dilution in the hyper near field is calculated using the Lagrangian decorrelation timescale and vertical turbulence to approximate the effective mixing depth. This framework provides a central source repository to reduce code fragmentation among STILT user groups as well as a systematic, well-documented workflow for users. We apply the modified STILT-R to light-rail measurements in Salt Lake City, Utah, United States, and discuss how results from our analyses can inform future fine-scale measurement approaches and modeling efforts.

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