Nokia Technologies Oy

Akhil Mathur

Fahim Kawsar

Nicholas Lane

Mohammed Alloulah

Utku Gunay Acer

Marc Van Den Broeck

Anton Isopoussu

Chulhong Min

Sourav Bhattacharya

Alessandro Montanari

Shaoduo Gan

Seungchul Lee

A method and system is disclosed that comprises detecting a user gesture at a location which is remote from a data processing terminal and identifying a first application based on the distance of the detected user gesture being within a first distance range from the data processing terminal, wherein a plurality of applications are associated with different distance ranges from the data processing terminal. The method and system may further cause performance of one of a plurality of functions of the first application based on the user gesture.

Gesture control of a data processing apparatus

An apparatus comprising means for: receiving information from at least one inertial measurement unit configured to be worn on a user's head; and causing, at least in part, determining facial expression information in dependence on at least the received information.

Detection of facial expressions

An apparatus, method and computer program is described comprising: initialising weights of a target encoder based on a source encoder; initialising weights of a target discriminator associated with the target encoder such that the target discriminator is initialised to match a source discriminator associated with the source encoder; applying some of a target data set to the target encoder to generate target encoder outputs; applying the target encoder outputs to the target discriminator to generate a first local loss function output; training the target encoder to seek to increase the first local loss function output; training the target discriminator to seek to decrease the first local loss function output; and synchronising weights of the target discriminator and the source discriminator.

Domain adaptation

In one embodiment, the method includes obtaining, by a first processing device, energy demand data representative of the energy consumption of respective tasks of a processing pipeline, obtaining, by the first processing device, battery availability data representative of the available energy of the batteries of other respective processing devices, for respective tasks of the processing pipeline, selecting, by the first processing device, one of the processing devices for executing the task, as a function of the energy demand data and the battery availability data, and controlling, by the first processing device, the execution of the respective tasks on the selected processing devices.

Method and devices for processing sensor data by applying one or more processing pipelines to the sensor data

An apparatus comprising means for: using a generative neural network, trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data; and providing the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.

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Cambridge, United Kingdom

Akhil Mathur