US 2017/0256181 A1Published application

Vision-assist systems for orientation and mobility training

AssigneeToyota Motor Engineering & Manufacturing North America, Inc.

InventorTiffany Chen

Life of this patent

Estimating the term…

Loading patent…

Abstract

Vision-assist systems and methods include use of processor(s) and a communicatively coupled feedback device and environmental sensing device upon which generated feedback is based. Machine readable instructions stored on a memory module cause the system to perform the following when executed by the processor(s): record a first metric corresponding to a level of reliance by a user on the feedback device at a first time; record a second metric corresponding to the level of reliance by the user on the feedback device at a second time after the first time; and record an awarded amount of reliance points when the second metric is less than the first metric, indicative of a decrease on a reliance by the user on the vision-assist system. The awarded amount of reliance points corresponds to a percentage by which the second metric decreases compared to the first metric.

Claims20

Dependent claims

A vision-assist system comprising:

one or more processors;
a memory module communicatively coupled to the one or more processors;
an environmental sensing device communicatively coupled to the one or more processors and operable to generate information regarding an environment;
a feedback device communicatively coupled to the one or more processors and operable to generate feedback at least partially based on the generated environmental information of the environmental sensing device;
and
machine readable instructions stored in the memory module that cause the vision-assist system to perform at least the following when executed by the one or more processors:
record a first metric corresponding to a level of reliance by a user on the feedback device at a first time, wherein the level of reliance is based at least in part on a measurable dependence on the generated feedback;
record a second metric corresponding to the level of reliance by the user on the feedback device at a second time, wherein the second time occurs after the first time;
and
record an awarded amount of reliance points when the second metric is less than the first metric, indicative of a decrease on a reliance by the user on the vision-assist system, wherein the awarded amount of reliance points corresponds to a percentage by which the second metric decreases compared to the first metric.

7 more elements

A method for awarding points based on reliance on a vision-assist system comprising:

recording a first metric corresponding to a level of reliance on a feedback device by a user on the vision-assist system at a first time, wherein:
an environmental sensing device comprising at least one of an environment camera and one or more microphones is communicatively coupled to the one or more processors and is operable to generate information regarding an environment, and
the feedback device is communicatively coupled to one or more processors of the vision-assist system and is operable to generate feedback at least partially based on the generated environmental information of the environmental sensing device;
recording a second metric corresponding to the level of reliance on the feedback device by the user on the vision-assist system at a second time, wherein the second time occurs after the first time;
awarding an amount of reliance points when the second metric is less than the first metric, indicative of a decrease on a reliance by the user on the vision-assist system, wherein the amount of reliance points corresponds to a percentage by which the second metric decreases compared to the first metric;
and
storing in a cloud database system communicatively coupled to the one or more processors at least one of the amount of reliance points and one or more other user training progression tracking metrics based on user interaction with the vision-assist system.

4 more elements

Dependencies are inferred from the claim text.