公开(公告)号：US20240269336A1

公开(公告)日：2024-08-15

申请号：US18553089

申请日：2022-04-01

申请人： Alireza BAHREMAND ,  Richard GERKIN ,  Mason MANETTA ,  Jessica LAI ,  Robert LIKAMWA ,  Brian SMITH ,  Christy SPACKMAN ,  ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY

发明人： Alireza Bahremand ,  Richard Gerkin ,  Mason Manetta ,  Jessica Lai ,  Robert LiKamWa ,  Brian Smith ,  Christy Spackman

IPC分类号： A61L9/12 ,  A61M21/00 ,  A61M21/02 ,  A63F13/28 ,  G05D11/13

CPC分类号： A61L9/125 ,  A61M21/02 ,  A63F13/28 ,  G05D11/13 ,  A61L2209/11 ,  A61L2209/134 ,  A61M2021/0016 ,  A61M2021/005

摘要： Described herein are systems, methods, and apparatuses for implementing olfactory delivery in virtualized environments using an olfactory delivery engine. Mimicking physical odor sensations virtually can present users with a real-time odor synthesis that approximates what users would smell in a virtual environment, e.g., as they walk around in virtual reality. A novel Smell Engine is described herein which includes: (i) a Smell Composer framework that allows developers to configure odor sources in virtual space, (ii) a Smell Mixer that dynamically estimates the odor mix that the user would smell, based on diffusion models and relative odor source distances, and (iii) a Smell Controller that coordinates an olfactometer to physically present an approximation of the odor mix to the user's mask from a set of odorants channeled through controllable flow valves. Experimental results show that the Smell Engine can help measure a subject's olfactory detection threshold and improve their ability to precisely localize odors in the virtual environment, as compared to existing trigger-based solutions. Other related embodiments are disclosed.

公开(公告)号：US11043025B2

公开(公告)日：2021-06-22

申请号：US16585479

申请日：2019-09-27

申请人： Siddhant Prakash ,  Paul Nathan ,  Linda Nguyen ,  Robert LiKamWa ,  Alireza Bahremand

发明人： Siddhant Prakash ,  Paul Nathan ,  Linda Nguyen ,  Robert LiKamWa ,  Alireza Bahremand

IPC分类号： G06T15/50 ,  G06T15/10 ,  G06T15/06 ,  G06T19/00

摘要： Systems and methods for collaborative illumination estimation for mobile mixed-reality devices are provided. Embodiments described herein compose an illumination estimate using video data capturing an environment which includes a reflective object, such as a light probe. Radiance samples are computed from light reflections from the reflective object, which are then interpolated to compose a realistic estimation of physical lighting of the environment. Robust illumination estimation is provided in a computationally efficient manner, supplying real-time updates to facilitate integration with augmented reality (AR) systems and other image processing applications. The computational efficiency of this approach allows for implementation in lower-resource environments, such as mobile devices. In some examples, multiple devices can collaborate to capture the environment from different viewpoints and enhance realism and fidelity in their illumination estimates.