- Miami FL, US Zachary Carl Nienstedt - Wilton Manors FL, US Sam Miller - Hollywood FL, US Marco Magistri - Miami FL, US Nicholas Atkinson Kramer - Wilton Manors FL, US James Thomas Heising - Richard WA, US
International Classification:
G16H 50/20 G16H 50/30 G16H 40/67
Abstract:
Systems and methods for ensuring medical diagnostic test integrity are disclosed. In particular, systems and methods herein can be used to ensure compliance with testing procedures. Some embodiments provide systems and methods for verifying test results. According to some embodiments, test results can be non-human-readable results that can be interpreted by a computing system.
Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, totem, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The wearable system can detect when different inputs converge together, such as when a user seeks to select a virtual object using multiple inputs such as eye gaze, head pose, hand gesture, and totem input. Upon detecting an input convergence, the wearable system can perform a transmodal filtering scheme that leverages the converged inputs to assist in properly interpreting what command the user is providing or what object the user is targeting.
Augmented Reality Systems And Methods For User Health Analysis
- Plantation FL, US Mark Baerenrodt - Millbrae CA, US Nastasja U. Robaina - Coconut Grove FL, US Charlotte Dorothea Wilhelmina Vinkers - Fort Lauderdale FL, US Christopher M. Harrises - Nashua NH, US Nicholas Atkinson Kramer - Fort Lauderdale FL, US
Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.
Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, totem, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The wearable system can detect when different inputs converge together, such as when a user seeks to select a virtual object using multiple inputs such as eye gaze, head pose, hand gesture, and totem input. Upon detecting an input convergence, the wearable system can perform a transmodal filtering scheme that leverages the converged inputs to assist in properly interpreting what command the user is providing or what object the user is targeting.
Augmented Reality Systems And Methods For User Health Analysis
- Plantation FL, US Mark Baerenrodt - Delray Beach FL, US Nastasja U. Robaina - Coconut Grove FL, US Charlotte Dorothea Wilhelmina Vinkers - Fort Lauderdale FL, US Christopher M. Harrises - Nashua NH, US Nicholas Kramer - Fort Lauderdale FL, US
Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.
Sean Kenneally, Mitchell Kluesner, Nicholas Kramer and Bryce Wilwert, all 14, were friends from the Epworth area and planned to begin their freshman year at Western Dubuque High School in the fall, The Dubuque Telegraph Herald (http://bit.ly/1sk9tka ) reported. Before the accident, they participated
Epworth. Four 14-year-old boys Bryce Wilbert of Epworth, Sean Kenneally of Peosta, Mitchell Kluesner of Epworth and Nicholas Kramer of Dyersville were operating a John Deere Gator a small, utility vehicle when they were hit by a truck driven by 24-year-old Joseph Connolly, of Holy Cross. Con