Samsung Electronics Co., Ltd.

Yifei Jiang

Shalinder Singh Sidhu

Jun Yang

Koichi Mori

Danny R Bennett

Jasvinder Singh

Xuan Bao

Satheesh Sudarsan

Yannick Pellet

Lu Luo

Vijay Srinivasan

Evan Welbourne

Zhixian Yan

A technique to automatically determine a shape of a path based on crowdsourced trajectory data is disclosed. Trajectory data is collected for a plurality of crowdsourced paths. The trajectory data for each of the plurality of crowdsourced paths is associated with at least one uniquely identifiable ambient signal. Anchor points may be identified corresponding to a transition in a characteristic of trajectory data of an individual crowdsourced path. Matching may be performed based on analyzing matching patterns of anchor points and evaluating the matches. Various embodiments involve using a linked node structure to represent one or more traces and/or indicate routes in a particular geographical area.

Trajectory matching using ambient signals

Social grouping using a device may include determining, by the device, a set of attributes associated with interactions between a user and a set of contacts, wherein the set of attributes associated with the interactions is related to the device. The contacts may be organized into groups. The groups may be hierarchically ordered with at least one of the groups being a subgroup of another one of the groups.

On-device social grouping for automated responses

Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Location determination, mapping, and data management through crowdsourcing

In one aspect, information of multiple anchor points is received and stored. The information of each anchor point includes Global Positioning System (GPS) data of a particular location and radio frequency (RF) data that was obtained at a device at the particular location. A geo coordinate is determined for an indoor location based on the RF data obtained at the indoor location and the information of the anchor points. Various embodiments pertain to software, systems, devices and methods relating to anchor points and/or the obtaining of a geo coordinate for a location.

Indoor global positioning system

In one aspect of the invention, a method for determining the location of a device is described. The method involves using one or more signal emitting platforms, which are capable of performing a wide variety of operations. In some embodiments, for example, the signal emitting platform is capable of physical movement. Various embodiments relate to signal emitting platforms, devices, systems, servers, computer code, methods and techniques for determining the location of a device.

Localization using converged platforms

In one aspect, GPS data, ambient signal data, radio frequency data and/or other types of data are used to determine the location of an entrance to an area or a building. In another aspect, sequential trajectory data is collected and the data is analyzed and/or processed to determine the location of an area of interest.

Growing community of inventors

Santa Clara, CA, United States of America

Yifei Jiang