Samsung Electronics Co., Ltd.

Alohar Mobile Inc.

Huawei Technologies Co., Limited

Nokia Corporation

Future Wei Technologies, Inc.

Nokia Technologies Oy

Jun Yang

Sam Song Liang

Chenyu Wang

Zhigang Liu

Yifei Jiang

Xuan Bao

Lu Luo

Evan Welbourne

Zhixian Yan

Emmanuel Munguia Tapia

Koichi Mori

Baopu Li

Shalinder Singh Sidhu

Danny R Bennett

Yiwei Zhao

Juan Chen

Yurong Xu

Shuo Huang

Yun Fu

Jasvinder Singh

Vijay Srinivasan

Hawk-Yin Pang

Emmanuel M Tapia

Kiran K Rachuri

Wenyou Sun

Enamul Hoque

Alvin Lau

Joseph Munaretto

Haipeng Zhang

Jianming Zhou

Ying Chang

Huan Chang

Dongfang Zheng

Embodiments of this disclosure provide techniques used in a location sensing service and a timeline service implemented in a host device for providing location history. In particular, the location sensing service may passively collect location coordinates of the device using requests made by third party applications. The location sensing service may receive a signal comprising an intent for a location request in response to a change in the user activity or in response to a change in a cellular identification of the device. The device may determine that a time elapsed from a previous location request and a time corresponding with receiving one or more of the signals exceed a time threshold and, based thereon, request a location coordinate of the device.

Multimodal location sensing on a mobile phone

Methods, systems, and apparatus, including computer programs encoded on computer storage media for driver detection are described. One example method includes monitoring data provided by an accelerometer associated with a client device. It is determined whether the data indicates a particular event associated with a vehicle. In response to determining that the data indicates the particular event associated with the vehicle, one or more micro-activities associated with the vehicle are determined based on data from at least one of the accelerometer and one or more other sensors associated with the client device. Results from each of the one or more micro-activities are provided to a trained model associated with the client device. In response to providing the results to the trained model, one or more vehicular events in a time sequence are identified based on the one or more micro-activities associated with the vehicle.

Methods and systems for sequential micro-activity based driver detection on smart devices

The present disclosure relates to methods and devices for indoor-outdoor detection. One example computer-implemented method for indoor-outdoor detection by an electronic device includes receiving, from an ambient light sensor in the electronic device, light intensity data. The electronic device determines an indoor-outdoor feature indicator based on the light intensity data. The electronic device determines whether the electronic device is in an indoor environment or an outdoor environment based on the indoor-outdoor feature indicator.

Indoor detections based on ambient light

A method and device for automatic meeting detection and analysis. A mobile electronic device includes multiple sensors configured to selectively capture sensor data. A classifier is configured to analyze the sensor data to detect a meeting zone for a meeting with multiple participants. A processor device is configured to control the multiple sensors and the classifier to trigger sensor data capture.

Automatic detection and analytics using sensors

The disclosure relates to technology for location-based services, and in particular, to geofencing. A computing device generates multiple circular shaped geofences to cover a geographic region defined by a polygon shaped geofence. The multiple circular shaped geofences are monitored to detect a current location of user equipment entering a boundary of any of the circular shaped geofences. Based on the detection, determining that the current location of the user equipment is within the polygon shaped geofence. A location based service is notified that the user equipment has entered the polygon shaped geofence.

System and method for enabling polygon geofence services on mobile devices

In one aspect, a method for determining a location of a landmark using a map is described. Trajectory data is obtained indicating movement of a device at an area. The trajectory data indicates a landmark. A map is obtained of the area. At least a portion of the trajectory data is compared and/or matched with at least a portion of the map. Based on the matching, a location of the landmark is determined in the map. Various implementations involve system, devices and software relating to the above method.

Landmark location determination

Methods, systems, and computer readable media for social grouping are provided to perform social grouping of a user's contacts based on the user's interactions with the contacts. A set of attributes associated with interactions between a user and a set of contacts may be determined by a first device. The set of attributes associated with the interactions may be related to the first device. The set of contacts may be organized into a set of groups based on the set of attributes.

Methods and systems for on-device social grouping

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

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

An electronic system includes: a control unit configured to: generate an encrypted information based on encrypting an information type, generate a mapping table including the encrypted information, the information type, or a combination thereof, generate a restored information based on mapping a decomposed information of the encrypted information, categorized according to a decomposition rule, to a corresponding instance of the information type in the mapping table, and a user interface, coupled to the control unit, configure to display the restored information on an activity dashboard for receiving a user entry to calibrate the decomposition rule.

Electronic system with privacy mechanism and method of operation thereof

A method for using Bluetooth&#xae; information for inferring user context and computing sociability is presented. The method includes receiving wireless sensor data from wireless sensor communication for an electronic device. Information units are formed using the wireless sensor data. User context is inferred using the information units. An entropy metric is computed based on the inferred user context. Social profiling is created based on the entropy metric and one or more user context characteristics.

Context recognition and social profiling using mobile devices

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.

System for determining the location of entrances and areas of interest

Methods, systems and apparatuses for selecting which of a plurality of sensors to use for location detection of a mobile device are disclosed. One method includes activating lowest-power location-related sensors of the mobile device at power up of a mobile device, and activating medium-power location-related sensors of the mobile device upon detection of motion of the mobile device and/or a change in a wireless connection to the mobile device.

Control of activation of location-related sensors of a mobile device

Methods, systems and apparatuses for automatically determining user stays of a user of a mobile device are disclosed. One embodiment includes a network server operative to receive sensed location information of a mobile device. Further, the network server and/or a controller of the mobile device are operative to determine the mobile device is within a specific distance of a specific location for at least specific minimum time duration based on the location information, determine a start time of a user stay based on the location information, the specific location and the specific distance, and determine an end time of the user stay based on the location information, the specific location and the specific distance.

Growing community of inventors

Milpitas, CA, United States of America

Jun Yang