huawei’s-watch-3-is-its-first-harmonyos-smartwatch

Huawei’s Watch 3 is its first HarmonyOS smartwatch

Huawei has announced its first smartwatches running its own HarmonyOS operating system, the Huawei Watch 3 and Huawei Watch 3 Pro. In theory it’s the third separate operating system Huawei has used for its smartwatches, which originally ran Google’s Android Wear (now Wear OS) before introducing its own LiteOS software with more recent devices.

Despite the new OS, the Watch 3 offers a similar set of features to Huawei’s previous wearables. New additions includes a redesigned home screen that now consists of a watchOS-style grid of apps rather than a list, and there’s also support for video calling through Huawei’s own MeeTime service.

Although it’s branded as a HarmonyOS device, the Watch 3’s long battery life suggests its operating system is significantly different from the version of HarmonyOS Huawei is using on its new tablets, and may have more in common with LiteOS on its previous watches. Huawei did not respond to questions about any similarities between HarmonyOS and its existing operating systems.

The Watch 3’s design doesn’t deviate much from Huawei’s previous smart watches. It’s got a circular 1.43-inch OLED display with a 60Hz refresh rate and a peak brightness of 1000 nits. The display is edge-to-edge, so there’s no rotating bezel on this smartwatch. Instead you control it via a rotating crown, similar to an Apple Watch. The watch is available in a couple of different styles including an “active” model with a rubber strap, a “classic” model with leather, and an “elite” version with a metal bracelet.

For activity tracking, the watch features many of the same sensors as previous models, including heart rate tracking, an Sp02 sensor, and sleep tracking. But new for this version is a temperature sensor, similar to Fitbit’s Sense smartwatch from last year. Huawei says this sensor can continuously track the temperature of your skin throughout the course of the day. Huawei says the watch supports a hundred different workout modes, ranging from running to climbing, cycling, and swimming.

eSIM support returns from the Watch 2 Pro, which means the Watch 3 can also be operated independently from a phone with its own 4G LTE connection. The watch supports making voice calls directly, and there’s also support for video calls via Huawei’s MeeTime service (though there wasn’t any confirmation about whether the watch will work with other video calling services like WhatsApp).

With 4G turned on, Huawei says you should get around three days of battery life from the Watch 3, but that extends to 14 days if you’re willing to turn off 4G and use the phone in “ultra long lasting mode.” Even in this low-power mode, Huawei says you should still be able to track your activity and workouts, and its watch faces will still be animated.

As well as the Watch 3, Huawei is also announcing the Watch 3 Pro today, which offers up to 5 days of battery life with 4G turned on, and up to 21 days in its long battery life mode. Other improvements include a more premium titanium construction, and more accurate GPS tracking.

Third-party app support is still a big question mark hanging over Huawei’s first HarmonyOS watches. As always, Huawei promises it’s working with developers on bringing their apps to its devices, and showed off a range of app logos including one for the Emirates airline. But beyond that, there weren’t any app logos for services I recognized, and Huawei hasn’t confirmed support from any of the major music streaming services.

Huawei is yet to confirm pricing or release details for the Huawei Watch 3 and Watch 3 Pro, but said an announcement should be made soon.

this-raspberry-pi-guitar-pedal-uses-machine-learning-for-effects

This Raspberry Pi Guitar Pedal Uses Machine Learning for Effects

(Image credit: Keith Bloemer)

When the soldering iron gets hot, makers have been known to cook up some sweet music on the Raspberry Pi. In some cases, we mean that literally, like today with Keith Bloemer’s NeuralPi project.

NeuralPi is a Raspberry Pi-based guitar pedal that uses machine learning to create custom effects. We’ve always insisted the best Raspberry Pi projects are the ones you can personalize—in this case, you can train the system with existing models or a new one of your own to get the sound you want.

Recreating this project will set you back just a little over $160. Bloemer used a Raspberry Pi 4 alongside a HiFiBerry ADC +DAC housed inside a HiFiBerry case. A male RCA to 1/4-inch female audio adapter is necessary for guitar pedal output, and he used a dual 1/4-inch female to a 1/8-inch male stereo adapter to connect the guitar to the HiFiBerry module.

NeuralPi is designed to work specifically with Elk Audio OS, an open-source OS catered to optimizing audio processing on embedded devices. You can find the NeuralPi source code on GitHub, along with a couple of Machine learning models you can use to get started right away.

If you’re interested in recreating this project, check out the full tutorial at Towards Data Science written by Bloemer himself. Be sure to follow him for more Pi projects and updates on this one.