Tuesday January 21, 2020
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Qualcomm To Announce A New Chip Especially For Kids’ Smartwatches

The new chip would be smaller than the prior "Wear chips"

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Qualcomm To Announce A New Chip Especially For Kids' Smartwatches
Qualcomm To Announce A New Chip Especially For Kids' Smartwatches. Pixabay

Global chipmaker Qualcomm is likely to announce a new chip called “Snapdragon Wear 2500” that is especially designed for kids’ smartwatches.

The new chip would be smaller than the prior “Wear chips” and is supposed to provide slightly better battery life.

“The chip supports LTE, up to a 5-megapixel camera, location tracking and plenty of other sensors,” The Verge reported late on Tuesday.

“Kids’ watches are built to give kids the ability to keep learning and connecting with gadgets when they leave the house and find themselves in school, where they aren’t always beside a computer,” Pankaj Kedia, who leads wearables at Qualcomm, was quoted as saying.

However, “Snapdragon Wear 2500,” would not support Google’s smartwatch operating system (OS) “Wear OS”.

Instead, it would be paired with a custom version of Android that Qualcomm has built for kids’ watches called “Android for Kids” that would come preloaded with apps and games.

Snapdragon by qualcomm
Snapdragon by qualcomm. Flickr

Qualcomm has started providing the “Wear 2500” to hardware partners and Huawei could be among the first partners, the report said.

Qualcomm is also planning to launch its next general-purpose smartwatch chip meant for “Wear OS” watches “but there is no word on when that would happen as of now”.

Also read: Qualcomm, Microsoft offer ‘always connected’ PCs with smartphone features

The chipmaker announced its last processor for wearables, the “Snapdragon Wear 2100,” in February 2016. (IANS)

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Here’s How Fitbit Smartwatch May Help You Predict Flu in Real-Time

The authors identify several limitations in their study

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Fitbit
Resting heart rate tends to spike during infectious episodes and this is captured by wearable devices such as Fitbit smartwatches and fitness trackers that track heart rate. Pixabay

In a first-ever study on wearable devices to improve surveillance of infectious disease, researchers in the US have achieved real-time flu prediction in five states, using resting heart rate and sleep tracking data from Fitbit users.

Resting heart rate tends to spike during infectious episodes and this is captured by wearable devices such as smartwatches and fitness trackers that track heart rate.

Influenza results in 650,000 deaths worldwide annually. And approximately 7 per cent of working adults and 20 per cent of children aged under five years get flu each year.

“Responding more quickly to influenza outbreaks can prevent further spread and infection, and we were curious to see if sensor data could improve real-time surveillance at the state level,” said study author Dr Jennifer Radin from Scripps Research Translational Institute.

The researchers reviewed de-identified data from 200,000 users who wore a Fitbit wearable device that tracks users’ activity, heart rate and sleep for at least 60 days during the study time.

fitbit
In a first-ever study on wearable devices to improve surveillance of infectious disease, researchers in the US have achieved real-time flu prediction in five states, using resting heart rate and sleep tracking data from Fitbit users. Pixabay

From the 200,000, 47,248 users from California, Texas, New York, Illinois and Pennsylvania wore a Fitbit device consistently during the study period, resulting in a total of 13,342,651 daily measurements evaluated.

The average user was 43 years old and 60 per cent were female.

De-identified data from the users retrospectively identified weeks with elevated resting heart rate and changes to routine sleep, said the research published in The Lancet Digital Health journal.

“In the future as these devices improve, and with access to 24/7 real-time data, it may be possible to identify rates of influenza on a daily instead of weekly basis,” said Radin.

This data was compared to weekly estimates for influenza-like illness rates reported by the U.S. Centers for Disease Control (CDC).

This is the first time heart rate trackers and sleep data have been used to predict flu, or any infectious disease, in real-time.

With greater volumes of data it may be possible to apply the method to more geographically refined areas, such as county or city-level.

The authors identify several limitations in their study.

Weekly resting heart rate averages may include days when an individual is both sick and not sick, and this may result in underestimation of illness by lowering the weekly averages.

Fitbit
This is the first time heart rate trackers and sleep data have been used to predict flu, or any infectious disease, in real-time. Pixabay

Other factors may also increase resting heart rate, including stress or other infections.

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Lastly, the authors noted that previous studies of sleep measuring devices have been found to have low accuracy, though they said that accuracy will continue to improve as technology evolves. (IANS)