Intel Corporation

Jason Wright

Lakshman Krishnamurthy

Saurin Shah

Manan Goel

Swarnendu Kar

Narayan Sundararajan

Brian Kenneth Vogel

Jason Blanchard

Steven Thomas Holmes

Systems, apparatuses and methods may obtain motion data, obtain audio data, and detect a collision between a handheld device and an object based on the motion data and the audio data. In one example, noise may be removed from the motion data and the audio data to obtain filtered collision data, wherein the object is classified based on the filtered collision data.

Classifying collision events using inertial and audio data

Processing techniques and device configurations for performing and controlling output effects at a plurality of wearable devices are generally described herein. In an example, a processing technique may include receiving, at a computing device, an indication of a triggering gesture that occurs at a first wearable device, determining an output effect corresponding to the indication of the triggering gesture, and in response to determining the output effect, transmitting commands to computing devices that are respectively associated with a plurality of wearable devices, the commands causing the plurality of wearable devices to generate the output effect at the plurality of wearable devices. In further examples, output effects such as haptic feedback, light output, or sound output, may be performed by the plurality of wearable devices, associated computing devices, or other controllable equipment.

Dynamic effects processing and communications for wearable devices

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Santa Cruz, CA, United States of America

Jason Wright