US 2024/0194046 A1Published application

Personal-assistance system for threat detection and convenience

AssigneeT-Mobile USA, Inc.

InventorMark Younge

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Abstract

A user-assistant system for threat detection and convenience is disclosed. The system includes a primary device (e.g., handheld mobile device) configured to establish a local network with one or more secondary devices (e.g., wearable device). The primary device can couple the system to a wireless communications network. A first sensor monitors physical activity occurring within a threshold vicinity of a user, and a second sensor can measure a physical property of the user. The system can determine that the physical activity satisfies the first condition and that the measure of the physical property satisfies a second condition within a timeframe of the first condition being satisfied. In response to the first and second conditions being satisfied within the timeframe, the system performs an action configured to assist the user in real-time to interpret and respond to the physical activity in a real-world environment.

Claims20

Dependent claims

A personal-assistance system comprising:

a primary device configured to establish a local network with one or more secondary devices,
wherein the primary device is configured to couple the system to a wireless telecommunications network, and
wherein the one or more secondary devices includes at least one wearable device worn by a user;
a first sensor configured to monitor physical activity occurring within a threshold vicinity of a user;
a second sensor configured to measure a physical property of the user;
at least one hardware processor;
and
at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
determine that the physical activity satisfies a first condition;
determine that the measure of the physical property of the user satisfies a second condition,
wherein the first condition and the second condition are satisfied within a timeframe;
and
in response to the first condition and the second condition being satisfied within the timeframe, cause the system to perform an action configured to assist the user in real-time to interpret and respond to the physical activity in a real-world environment.

10 more elements

A threat detection system comprising:

a handheld mobile device configured to communicatively couple with a wearable device worn by a user,
wherein the handheld mobile device is connected to a wireless telecommunications network;
a first sensor configured to detect whether an object is at or within a threshold distance of the user;
a second sensor configured to predict whether the user is aware that the object is at or within the threshold distance of the user;
and
a controller configured to cause the threat detection system to perform an action in respond to the object being at or within the threshold distance of the user and a prediction that the user is unaware that the object is within the threshold distance of the user,
wherein the action includes communicating a notification to the user or an entity other than the user about a potential threat caused by presence of the object at or within the threshold distance of the user.

4 more elements

A system comprising:

a handheld mobile device configured to communicatively couple to a wearable device worn by a user,
wherein the handheld mobile device is connected to an edge computing component of a wireless telecommunications network;
a sensor configured to detect human-perceptible information from a third-party object within a threshold vicinity of the user;
a machine learning (ML) engine configured to predict whether the user needs assistance to interpret the human-perceptible information of the object,
wherein a capability of the ML engine is augmented by the edge computing component to increase processing or storage capabilities of the handheld mobile device for interpreting the human-perceptible information of the object;
a controller configured to create new human-perceptible information based on the human-perceptible information,
wherein the new human-perceptible information is generated in part based on an output of the ML engine augmented by the edge computing component, and
wherein the new human-perceptible information is configured to assist the user to interpret the human-perceptible information;
and
cause the system to present the new human-perceptible information to the user,
wherein the new human-perceptible information is presented in real-time or near-real-time of detecting the human-perceptible information.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/065,573Filed 13 Dec 2022
Published: 13 Jun 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification13 codes

G08B 21/0453
Sensor means for detecting: worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
G06F 3/011
Input arrangements or combined input and output arrangements for interaction between user and computer: arrangements for interaction with the…
G06F 3/167
Sound input; Sound output: audio in a user interface, e.g. using voice commands for navigating, audio feedback
G08B 31/00
Predictive alarm systems characterised by extrapolation or other computation using updated historic