Back to results
US 2026/0251464 A1Published application
System
AssigneeSoftBank Group Corp.
InventorEmi KATAGIRI
Life of this patent
Estimating the term…
Abstract
The system according to the embodiment comprises a reception unit, a generation unit, and a navigation unit. The reception unit receives input of a destination. The generation unit calculates a route from a current location to the destination based on information received by the reception unit. The navigation unit displays the route in cooperation with building and floor guides based on the route generated by the generation unit.
Claims20
A system comprising:
- circuitry configured to:
- receive, from a client terminal via a packet-switched network, input data indicating a target location identifier;
- generate node sequence data representing a path from a current location to the target location identifier by inputting current location vector data and the target location identifier into a route generation model based on a graph neural network, the route generation model computing an optimal traversal over a graph structure comprising nodes and edges;
- and
- transmit, to the client terminal via the packet-switched network, display data comprising the node sequence data and spatial layout data associated with the graph structure for rendering on the client terminal.
2 more elements
A system comprising:
- a communication interface configured to communicate with a client terminal via a packet-switched network;
- a memory storing a route generation model obtained by deep learning on a graph neural network and an emotion estimation model obtained by deep learning on a neural network;
- a processor coupled to the communication interface and the memory, the processor being configured to:
- receive, from the client terminal via the communication interface, input data indicating a target location identifier and multimodal sensor data comprising facial image tensor data and voice waveform data;
- generate an emotion label by inputting the multimodal sensor data into the emotion estimation model;
- generate node sequence data representing a path from a current location to the target location identifier by inputting current location vector data, the target location identifier, and the emotion label into the route generation model, the route generation model computing an optimal traversal over a graph structure comprising nodes and edges with a cost function modified based on the emotion label;
- and
- transmit, to the client terminal via the communication interface, display data comprising the node sequence data and spatial layout data associated with the graph structure.
5 more elements
A method performed by a system comprising circuitry, the method comprising:
- receiving, from a client terminal via a packet-switched network, input data indicating a target location identifier;
- generating node sequence data representing a path from a current location to the target location identifier by inputting current location vector data and the target location identifier into a route generation model based on a graph neural network, the route generation model computing an optimal traversal over a graph structure comprising nodes and edges;
- and
- transmitting, to the client terminal via the packet-switched network, display data comprising the node sequence data and spatial layout data associated with the graph structure for rendering on the client terminal.
1 more element
Dependencies are inferred from the claim text.