Emergency notification, activity notification, and suspicious movement detection for mobile devices
AssigneeDISH Wireless L.L.C.
InventorsMichael Aristo Leonard, II, Andrew Allan
Life of this patent
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Abstract
Foreign emergency notification, activity notification, and suspicious movement detection for mobile devices are disclosed. An application running on a mobile device of a user may be used to automatically detect when a call is made to emergency services in a foreign country, when an issue or unpermitted behavior may be occurring, when the mobile device has moved to an anomalous or unpermitted location and/or is moving with an unexpected speed, etc. The application then notifies family members and/or other contacts in the user's home country via a domestic carrier network. An over-the-top Internet Protocol (IP) message can be sent by the application on the mobile device back to the home network core.
Claims19
One or more computing systems, comprising:
- memory storing computer program instructions;
- and
- at least one processor configured to execute the computer program instructions, wherein the computer program instructions are configured to cause the at least one processor to:
- monitor text messages sent and/or received by a mobile device, audio recorded by a microphone of the mobile device, or both,
- provide the text messages and/or recorded audio to one or more artificial intelligence (AI)/machine learning (ML) models as input,
- receive and analyze output from the one or more AI/ML models,
- detect, based on the analysis, that a user of the mobile device is potentially experiencing an issue or is engaged in unpermitted behavior, and
- send a message pertaining to the potential issue or the unpermitted behavior via a roaming network or an Internet Service Provider (ISP) to a home network core, wherein
- at least one of the one or more AI/ML models is trained to determine from a tone of a voice in the recorded audio, a volume and patterns of speech in the recorded audio, content of the speech in the recorded audio, or any combination thereof, that the user of the mobile device is potentially experiencing the issue or is engaged in the unpermitted behavior.
One or more non-transitory computer-readable media storing computer program instructions, wherein the computer program instructions are configured to cause at least one processor to:
- monitor text messages sent and/or received by a mobile device, audio recorded by a microphone of the mobile device, or both;
- provide the text messages and/or recorded audio to one or more artificial intelligence (AI)/machine learning (ML) models as input;
- receive and analyze output from the one or more AI/ML models;
- detect, based on the analysis, that a user of the mobile device is potentially experiencing an issue or is engaged in unpermitted behavior;
- and
- send a message pertaining to the potential issue or the unpermitted behavior via a roaming network or an Internet Service Provider (ISP) to a home network core, wherein
- at least one of the one or more AI/ML models is trained to determine from a tone of a voice in the recorded audio, a volume and patterns of speech in the recorded audio, content of the speech in the recorded audio, or any combination thereof, that the user of the mobile device is potentially experiencing the issue or is engaged in the unpermitted behavior.
A mobile device, comprising:
- memory storing computer program instructions for an emergency monitoring application;
- and
- at least one processor configured to execute the computer program instructions, wherein the computer program instructions are configured to cause the at least one processor to:
- monitor text messages sent and/or received by a mobile device, audio recorded by a microphone of the mobile device, or both,
- provide the text messages and/or recorded audio to one or more artificial intelligence (AI)/machine learning (ML) models as input,
- receive and analyze output from the one or more AI/ML models,
- detect, based on the analysis, that a user of the mobile device is potentially experiencing an issue or is engaged in unpermitted behavior, and
- send a message pertaining to the potential issue or the unpermitted behavior via a roaming network or an Internet Service Provider (ISP) to a home network core, wherein
- at least one of the one or more AI/ML models is trained to determine from a tone of a voice in the recorded audio, a volume and patterns of speech in the recorded audio, content of the speech in the recorded audio, or any combination thereof, that the user of the mobile device is potentially experiencing the issue or is engaged in the unpermitted behavior, and
- the message is sent with a sufficiently high priority that packets associated with the message are not dropped by the roaming network, the home network core, and/or the ISP due to congestion.
Dependencies are inferred from the claim text.