标签：#Wearable

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Is Garmin's new option worth $100 more than the Fitbit Air?

Motorola's Moto Watch looks like a capable and affordable timepiece, but looks are deceiving.

Apple has a not-so-obvious heart rate feature that's worth checking out. Here's what it does and how to use it.

This burgeoning wearable tech lets you talk to an AI assistant, listen to music, or check out a display screen from the comfort of your very own face.

Viture is releasing a more compact Mobile Dock Mini for just $99 alongside its new $299 smartglasses.

Most of the validation work on vaas-x so far had been industrial sensor data — turbofans, machine telemetry. I wanted to know if the same zero-config channel classifier actually transfers to a completely different domain: a wearable IMU strapped to a moving human. No feature engineering, no per-sport tuning, no hints about what any channel means. I'm writing this one up slightly differently than my other posts, because the first version of this test gave me a wrong answer, and I think the reason it was wrong is more useful than the result itself. The dataset UCI's Daily and Sports Activities set (Altun, Barshan & Tunçel, 2010): 8 subjects, each wearing five Xsens IMU units — torso, both arms, both legs — 9 axes per unit (accelerometer, gyroscope, magnetometer × x/y/z), sampled at 25Hz. 45 channels total. It includes both a sedentary activity (sitting) and dynamic sport activities (basketball, rowing), which gives a clean, checkable question: does a classifier that's never seen this data correctly tell apart "person sitting still" from "person playing basketball," using channel statistics alone? import pandas as pd # Mirrored subset: github.com/AniMadurkar/Daily-Activities-and-Sports-Biomechanics-Analysis df = pd . read_csv ( " sports_science_dataset_subset.csv " ) channels = [ c for c in df . columns if c not in ( " subject " , " activity " , " timestamp " )] print ( len ( channels ), " channels " ) # 45 First attempt — and the mistake My first pass pooled all 8 subjects together per activity and ran it through the profiler in one shot. The result came back backwards: sitting showed up with more "significant" channels than basketball. That's not just unexpected, it's physically nonsensical — a person sitting still should be one of the lowest-variance activities in the entire dataset. The bug wasn't in the classifier. It was in the test. Pooling subjects together means each subject's own sensor baseline and IMU orientation differences get mixed into the between-subje

Deciding between a smartwatch or a smart ring? Here's what to know.

Your Apple Watch has lots of options that will allow you to make it your own.

As more big companies invest in glasses that record audio and video and pack AI on board, privacy concerns are only getting louder.

There's a difference between waterproof and water resistant.

The new Friend pendant features a speaker, updated models and the same off-putting ideas about how humans should use AI.

At last, a smart ring with some flair.

Friend, the AI wearable, can now talk to its users — for an enhanced price.

Avi Schiffmann has a new version of his controversial AI companion. It’s more expensive, and you can’t change its personality.

Why can't I just wear my AirPods in the pool?

The budget Apple Watch lacks some features present in other models, but their absence may not bother you.

Nike wants to make sure no one gets cold feet

If you can't find the watch face you want in the Play Store, you can create your own Galaxy Watch face from scratch.`

Accurately counting calories requires more data than a smartwatch can easily gather.