Starkey Laboratories, Inc.

Vmware, Inc.

Jeffery Lee Crukley

Justin R Burwinkel

David Alan Fabry

Kenneth Kragh Jensen

Karrie Recker

Amit Shahar

Jingjing Xu

Christopher Knowles

Tao Wu

Achintya Kumar Bhowmik

Embodiments herein relate to devices and related systems and methods for motion sickness prevention and mitigation. In an embodiment, a method of preventing or mitigating motion sickness in a subject is included, the method tracking motion of the subject using a first motion sensor; estimating a vestibular system input based on tracked motion of the subject; tracking head position of the subject using the first motion sensor; estimating a visual system input based on tracked head position of the subject; estimating consistency between the vestibular system input and the visual system input; and initiating a responsive measure if the estimated consistency crosses a threshold value. Other embodiments are also included herein.

Hearing assistance devices with motion sickness prevention and mitigation features

A processing system is configured to obtain data indicating answers of a user of one or more hearing instruments to a questionnaire. Additionally, the processing system is configured to determine an initial audiogram based on the answers. Furthermore, the processing system is configured to perform an initial fitting of the one or more hearing instruments based on the initial audiogram.

Self-fit hearing instruments with self-reported measures of hearing loss and listening

The current document is directed to methods and systems for frequency-domain analysis of operational and performance metric values and other data generated and collected within computer systems, including large distributed computer systems and virtualized data centers. In one implementation, each set of time-ordered values for each metric in a set of metrics is partitioned into time intervals, transformed from the time domain to the frequency domain, and aligned to generate a metric surface in a frequency-time-amplitude space. The metric surfaces are then pairwise compared to identify related metrics. Transfer functions are generated for transforming metric surfaces into one another. The comparison values and transfer functions are used to produce graphs that encapsulate discovered relationships between metrics.

Frequency-domain analysis of data-center operational and performance metrics

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Milton, Canada

Jeffery Lee Crukley