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A Method of Environmental Noise Cognitive Device Vibration Control

IP.com Disclosure Number: IPCOM000231015D
Publication Date: 2013-Sep-22
Document File: 7 page(s) / 104K

Publishing Venue

The IP.com Prior Art Database

Abstract

Our invention is to provide a method of environmental cognitive device vibration control. At the very beginning, the device vibration parameters including the frequency or amplitude are set to a default value. While vibrating, microphone is enabled to capture the environmental feedback noise. First, the cognitive factor is obtained based on user settings, environmental noise and default vibration parameter. A cognitive factor spectrum is maintained. If the cognitive factor is in the spectrum, then set to the target vibration parameter directly, else the vibration parameters are tuned according to the captured noise parameter. The environmental noise cognitive tuning process continues until the noise parameters are settled within a proper range of value. The factor and vibration parameter are put into the spectrum as the learning result.

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A Method of Environmental Noise Cognitive Device Vibration Control

Cognitive computing is being implemented and applied in many areas. Either to build intelligent software logic in the back end analytic system or make the device more sensible and cognitive. Device itself get several sensors to archive that. We focus on a problem of how to make the device like mobile phone more cognitive to vibrate properly in different context. Many devices get vibration adjustment function while it is a problem that the vibration (frequency/amplitude) could not be adjusted adaptively according to the environment and context where the device is. For example, the same vibration frequency/amplitude setting would have different effects on soft material and surface like sofa or pocket from the effects on hard ones like desktop or glass. This could cause some missed notification or disturbance. You may miss a important phone call. Or baby may be waked up due to improper vibration noise. And is it possible that the device could self-learn under what kind of environment and context it is?

Our invention is to provide a method of environmental cognitive device vibration control. At the very beginning, the device vibration parameters including the frequency or amplitude are set to a default value. While vibrating, microphone is enabled to capture the environmental feedback noise. First, the cognitive factor is obtained based on user settings, environmental noise and default vibration parameter. A cognitive factor spectrum is maintained. If the cognitive factor is in the spectrum, then set to the target vibration parameter directly, else the vibration parameters are tuned according to the captured noise parameter. The environmental noise cognitive tuning process...