Huawei Technologies Co., Limited

Juan Chen

Jun Yang

Yiwei Zhao

Baopu Li

Wenyou Sun

Xiaofeng Li

Yurong Xu

Shuo Huang

Jiehua Guo

Joseph Munaretto

A mobile device implements an inter-device inter-process communication (IPC) mechanism by which services on each device in a cluster group may be accessed by other devices in the cluster group using intra-device IPC calls. The inter-device IPC mechanism extends the existing intra-device IPC mechanism so that it may be used by existing applications across devices in the cluster group with little or no modification to the applications. A mobile device establishes pseudo-tokens for objects on the mobile device and pseudo-handlers for objects on the other devices. A mobile device may access multiple objects on other devices and may provide multiple other devices with access to a local object. Each object accessed via an inter-device IPC call is associated with a respective service adapter in a respective communication service gateway of each of the participating devices.

Accessing service application components across multiple devices

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

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Campbell, CA, United States of America

Juan Chen