Wearable_Insight_Forum

 

David Mun
@david-mun
Trusted Member
Joined: Jul 22, 2025
Last seen: Mar 15, 2026
Topics: 3 / Replies: 49
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RE: I’m thinking about developing a wearable. What tips do you have for preprocessing collected data?

We’ve all experienced that at least once, lol.In my experience, starting between 0.3 and 0.5 Hz and not deviating too much has been the most stable ap…

3 months ago
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RE: I’m thinking about developing a wearable. What tips do you have for preprocessing collected data?

These questions usually lead to lengthy comments, lol.To summarize briefly, “A lot of things are theoretically correct, but in practice, compromises a…

3 months ago
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RE: They say the most difficult part is distinguishing between cycling and walking/running… I’d love to hear your opinions!

The location… Honestly, it’s quite large, lol.The gyro is a hidden asset on the wrist, but the acceleration cycle is cleaner when worn on the waist or…

3 months ago
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RE: They say the most difficult part is distinguishing between cycling and walking/running… I’d love to hear your opinions!

Personally, I felt like autocorrelation worked better.FFT is powerful when tuned well, but even a slight mismatch in the sample rate or window caused …

3 months ago
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RE: They say the most difficult part is distinguishing between cycling and walking/running… I’d love to hear your opinions!

In short, the key point was, “While cycling may seem similar to walking/running in terms of vibration patterns, their rhythms are different.”1. Don’t …

3 months ago
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RE: What are the most commonly used models in the wearables industry?

Exactly. There are many proof-of-concepts (PoCs) that are “just going to work,” but they rarely make it into product lines due to battery life and sta…

3 months ago
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RE: What are the most commonly used models in the wearables industry?

Yes, it’s almost exactly both, lol.From the product team’s perspective, they often have to explain “why they decided something this way,” so RF is muc…

3 months ago
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RE: What are the most commonly used models in the wearables industry?

In the real world, RF/GBDT + feature engineering is still the most commonly used.Deep learning is “good to have, but expensive,” and Transformer/TinyM…

3 months ago
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RE: I have a question about “Mechanical Sensors for Emotional States.”

Ohhh yeah, this is one of my favorite “human signals meet wearables” topics.So here’s the deal: mechanically measuring emotions is not magic, it’s bas…

3 months ago
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RE: Piezoelectricity and triboelectricity seem to be the self-powering mechanisms of wearables. Could you explain in simple terms exactly how they convert our movements into energy?

Okay, bro! The principle behind this self-powered sensor may seem like magic, but it’s actually explained through some pretty cool physics.I’ll explai…

4 months ago
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RE: Have you heard of self-powered wearable sensor technology that generates electricity simply by moving, without batteries?

Exactly.We’re pretty much heading into an era where just moving around turns your body into a tiny power plant lol.

4 months ago
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RE: Have you heard of self-powered wearable sensor technology that generates electricity simply by moving, without batteries?

lol not yet.Smartwatches eat way too much power—screens, processors, wireless, all that.But patch-type health monitors or basic wearable sensors?Those…

4 months ago
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RE: Have you heard of self-powered wearable sensor technology that generates electricity simply by moving, without batteries?

Yep, it’s real. Piezo and TENG tech have gotten wild lately.It used to be “cool lab demo” territory, but now they’re literally weaving this stuff into…

4 months ago
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RE: Have you heard of self-powered wearable sensor technology that generates electricity simply by moving, without batteries?

To be honest, self-powered wearable sensors (piezoelectric/triboelectric/TENG-based) are a real reality.And yes, it’s natural to be surprised when you…

4 months ago
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RE: Will a time come when machine learning-based analysis automatically assesses a patient’s recovery stage?

Of course it’s important! Medical data is particularly sensitive, so we’re putting a lot of effort into data anonymization and establishing security p…

4 months ago
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RE: Will a time come when machine learning-based analysis automatically assesses a patient’s recovery stage?

Oh, Steve Ryu! That’s a good question. Indeed, “recovery” is a difficult concept to define with just a few numbers. However, recent research is active…

4 months ago
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RE: Will a time come when machine learning-based analysis automatically assesses a patient’s recovery stage?

That’s a very interesting question! In fact, we can say that the era of “machine learning automatically assessing a patient’s recovery stage” is alrea…

4 months ago
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RE: Samsung’s Next-Gen Mixed Reality Headset — Galaxy XR

That’s right. Ultimately, the key is content. The hardware certainly seems ready, but I think whether we truly enter the “post-smartphone era” will de…

5 months ago
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RE: Samsung’s Next-Gen Mixed Reality Headset — Galaxy XR

Exactly. The performance and display specs are also on par with the Vision Pro, so they’re aiming to compete directly. Samsung, in particular, is said…

5 months ago
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RE: Samsung’s Next-Gen Mixed Reality Headset — Galaxy XR

Yes, most of them will need to be re-optimized for the XR. However, Google is actively pushing development tools to expand its ecosystem, so the barri…

5 months ago
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RE: Samsung’s Next-Gen Mixed Reality Headset — Galaxy XR

That’s a good question. While the basic framework is Android, the interface and features are completely redesigned specifically for XR devices. For ex…

5 months ago
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