Apple Inc.

Qualcomm Incorporated

Chaitanya Mannemala

Kapil Chhabra

Welly Kasten

Sreeneel K Maddika

Srikanth Vishnubhotla

Garrett L Weinberg

Sachin S Kajarekar

Artiom Shamis

Ahmed Serag El Din Hussen Abdelaziz

Abhishek Rawat

Stephen Olivier Lemay

Linhai He

Ronald Keryuan Huang

Pedro Mari

Christopher G Lott

Rashid Ahmed Attar

Guido Robert Frederiks

Ashok Ranganath

Benjamin S Phipps

Donna Ghosh

Franco Travostino

Aswath Manoharan

Veerendra Boodannavar

Anumita Biswas

Jay Moon

Jessica J Peck

Corey J Peterson

Saurabh Adya

Keith P Avery

Vinesh Pallen

Barry-John Theobald

Lynn I Streja

Sunit Pujari

Myra C Lukens

Christopher R Purcell

Ahmed S Hussen Abdelaziz

Karan M Daryanani

Sunit Bhatia

Sriram Lakshmanan

Erik Marchi

Harry Simmonds

Gopal Chillariga

Stephen H Shum

Ognjen Rudovic

Pranay Dighe

Seyedmahdad Mirsamadi

Sudheer Konda

Veerendra Boodnnavar

Ahmed H Tewfik

Alexander W Churchill

An example process includes: while displaying a portion of an extended reality (XR) environment representing a current field of view of a user: detecting a user gaze at a first object displayed in the XR environment, where the first object is persistent in the current field of view of the XR environment; in response to detecting the user gaze at the first object, expanding the first object into a list of objects including a second object representing a digital assistant; detecting a user gaze at the second object; in accordance with detecting the user gaze at the second object, displaying a first animation of the second object indicating that a digital assistant session is initiated; receiving a first audio input from the user; and displaying a second animation of the second object indicating that the digital assistant is actively listening to the user.

Extended reality based digital assistant interactions

Systems and processes for operating an intelligent automated assistant are provided. For example, a first speech input is received from a user. In response to receiving the first speech input, a response is provided. A first output is provided corresponding to a digital assistant in a first state, and a second speech input is received from the user. A first plurality of values is obtained. Based on the first plurality of values, a first confidence level corresponding to the second speech input is obtained. In accordance with a determination that the first confidence level exceeds a first threshold confidence level, a second output is provided corresponding to the digital assistant in a second state. The second speech input continues to be received.

Multiple state digital assistant for continuous dialog

An example process includes: receiving a speech input representing a user utterance; determining, based on a textual representation of the speech input, a first score corresponding to a type of the user utterance; determining, based on the textual representation of the speech input, a second score representing a correspondence between the user utterance and a domain recognized by a digital assistant; determining, based on the first score and the second score, whether the speech input is intended for the digital assistant; in accordance with a determination that the speech input is intended for the digital assistant: initiating, by the digital assistant, a task based on the speech input; and providing an output indicative of the initiated task.

Determining whether speech input is intended for a digital assistant

A method performed by a device that has a current first network connection to a first network. The device determining one or more current conditions associated with the device, determining whether a disconnect of the first network connection is imminent based on the one or more current conditions and responsive to determining that the disconnect is imminent, performing a pre-fetch operation to request data over the first network connection for at least one application resident on the device.

Data pre-fetch upon imminent WiFi link loss

Systems and processes for operating an intelligent automated assistant are provided. An example method includes receiving, from one or more external electronic devices, a plurality of speaker profiles for a plurality of users; receiving a natural language speech input; determining, based on comparing the natural language speech input to the plurality of speaker profiles: a first likelihood that the natural language speech input corresponds to a first user of the plurality of users; and a second likelihood that the natural language speech input corresponds to a second user of the plurality of users; determining whether the first likelihood and the second likelihood are within a first threshold; and in accordance with determining that the first likelihood and the second likelihood are not within the first threshold: providing a response to the natural language speech input, the response being personalized for the first user.

Voice identification in digital assistant systems

Embodiments for performing, by a wireless device, a procedure for auto-joining a wireless network based on factors associated with the wireless networks are provided. The embodiments include determining a current location of the wireless device. The wireless device stores information regarding nearby known networks associated with the current location of the wireless device and may select a candidate network from the nearby known networks based on a network score associated with the candidate network.

Intelligent auto-join of wireless networks

After detecting an access-intent operation, an electronic device establishes a connection with a second electronic device using a communication protocol. The electronic devices exchange identifiers, and the second electronic device provides information specifying a preferred channel to use with a second communication protocol. Based at least in part on the preferred channel of the second electronic device and on communication contexts of the electronic devices, the electronic device selects a channel and transmits to the second electronic device information specifying the selected channel. The electronic device remotely accesses credential information based on the exchanged identifiers, and using the credential information, the electronic devices establish a secure connection via the selected channel using the second communication protocol. The electronic device determines a distance to the second electronic device using wireless ranging via the secure connection. When the electronic devices are proximate to each other, the electronic device can be unlocked.

Wireless login with secure proximity detection

A station and non-transitory computer readable storage medium for determining a first physical layer rate to perform data transmissions between the station and an access point of a WiFi network, the first physical layer rate being based on a primary rate and a plurality of fallback rates associated with the access point, the primary rate having a higher transmission speed than the plurality of fallback rates, determining a trigger based upon at least one current condition of the station and at least one corresponding prior condition existing at a time when the first physical layer rate is determined, selecting one of the plurality of fallback rates when the trigger is determined, performing data transmissions between the station and the access point using the one of the plurality of fallback rates and determining a second physical layer rate based on the one of the plurality of fallback rates.

Device and method for reliable WiFi data connectivity

A method, station and computer readable storage medium used to perform opportunistic roaming procedures. A station joined to a basic service set (BSS) of an access point (AP) performs a method including determining a roam profile for the station, the roam profile indicating at least one of available operating bands or available APs for the station, determining a first value associated with a network parameter of the joined AP, determining at least one roam candidate AP having a second value associated with the network parameter corresponding to the roam candidate AP, wherein the first and second values are a received signal strength indicator, determining whether a predetermined criteria value is satisfied based upon the first and second values, wherein the predetermined criteria value is a minimum difference between the first value and second value and roaming to the roam candidate AP when the predetermined criteria value is satisfied.

Device and method for opportunistic roaming

Wi-Fi link health monitoring by a wireless device. Signal strength (e.g., RSSI) of a Wi-Fi link may be monitored. If the signal strength is low, further link quality metrics may be monitored. If it is determined that health of the Wi-Fi link is poor based on monitoring signal strength and other link quality metrics, roaming to a different Wi-Fi network may be performed, the Wi-Fi link may be disconnected, and/or an application processor of the wireless device may be woken.

Wireless link quality monitoring

The listen interval of a WLAN client is selected to have one of a plurality of values, including a start listen interval (SLI) and one or more longer listen intervals (e.g., transient listen interval (TLI), maximum listen interval (MLI)). The listen interval is set to SLI in response to (1) detecting that an applications processor of the WLAN client is in an awake state, (2) detecting transmit/receive activity on the wireless link, and (3) failing to detect an expected beacon signal on the wireless link. If the listen interval is set to MLI (or TLI) and the WLAN client fails to detect an expected beacon signal (beacon miss), the listen interval is temporarily set to SLI. If the WLAN client then detects an expected beacon signal before detecting a predetermined number of consecutive beacon misses, the listen interval is immediately returned to the original listen interval MLI (or TLI).

Listen interval (LI) selection for WLAN client

A wireless communications power saving method and apparatus is provided. The method includes establishing a circular buffer configured to maintain a number of most recently encountered frame delay times and waiting a frame delay time after receiving a further frame before the station enters a power save state. Frame delay time is a period equal to a largest most recently encountered frame delay period in the circular buffer. The method further determines, at a station, a dormancy time based on a number of data frames received since the station transitioned from an inactive mode to an active mode, a packet transmission rate, and a data frame time interval representing time between data frames received at the station, and causes the station to switch to a further inactive mode if a next packet is not received within the dormancy time after receipt of a previous packet.

Method and apparatus for reducing power consumption in a wireless communication device

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Fremont, CA, United States of America

Chaitanya Mannemala