METHODS AND SYSTEMS FOR INVOKING A USER-INTENDED INTERNET OF THINGS (IOT) DEVICE FROM A PLURALITY OF IOT DEVICES

    公开(公告)号:US20220301568A1

    公开(公告)日:2022-09-22

    申请号:US17569394

    申请日:2022-01-05

    Abstract: A method for invoking a user-intended Internet of Things (IoT) device amongst a number of IoT devices is disclosed. The method includes extracting by the number of IoT devices, a number of voice parameters from a voice wakeup command for waking up the device. The method includes sharing by the number of IoT devices, the number of voice parameters amongst the number of IoT devices. The method includes comparing the number of voice parameters with a number of pre-stored voice parameters in the number of IoT devices. The method includes determining, a user-intended IoT device amongst the number of IoT devices based on the voice wakeup command and at least one of a similarity between the plurality of pre-stored voice parameters and the plurality of voice parameters and a previously invoked IoT device associated with a previous voice wakeup command. The method includes invoking the user-intended IoT device selected amongst the number of IoT devices.

    METHOD AND SYSTEM FOR CONTEXTUAL DEVICE WAKE-UP IN MULTI-DEVICE MULTI-REALITY ENVIRONMENTS

    公开(公告)号:US20250006195A1

    公开(公告)日:2025-01-02

    申请号:US18883463

    申请日:2024-09-12

    Abstract: A method for waking up a device among a plurality of devices in in a multi-reality environment is provided. The method includes detecting a voice input from a user, receiving, based on the voice input, a first plurality of wakeup parameters associated with a plurality of real-world devices in the real-world and a second plurality of wakeup parameters associated with a plurality of virtual-world devices in a virtual world, feeding the first plurality of wakeup parameters and the second plurality of wakeup parameters into a pre-trained artificial intelligence (AI)-based model a correlation of one or more of a context of the user, a history a device state of each of the plurality of real-world devices and the plurality of virtual-world devices, a device wakeup operation information of each of the plurality of real-world devices and the plurality of virtual-world devices, a task execution information of each of the plurality of real-world devices and the plurality of virtual-world devices, and error information in wake-up of each of the plurality of real-world devices and the plurality of virtual-world devices, predicting, by the pre-trained AI-based model, a target device based on the first plurality of wakeup parameters, the second plurality of wakeup parameters, and sending a wake-up signal to the target device for turning the target device into a listening state.

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