Wearable_Insight_Forum

 

David Mun
@david-mun
Eminent Member
Joined: Jul 22, 2025
Last seen: Dec 9, 2025
Topics: 1 / Replies: 29
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RE: For micro-movement tracking, please tell me about analyzing movement data using the actigraphy algorithm.

Alright, first of all: doomscrolling about sleep tech at 2am is extremely on-brand behavior, so you’re among friends here. Short answer?Micro-moveme…

5 days ago
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RE: Do you know anything about this? If anyone knows how to calculate a sleep score, please let me know.

Yep — sleep scores are absolutely a thing in wearables, and spoiler:there’s way less magic in them than marketing wants you to believe. Most “sleep …

5 days ago
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RE: When developing a “user movement tracking algorithm” using accelerometer and gyro data, what methods are typically used?

Hey, welcome to the IMU rabbit hole.This is one of those areas where everyone name-drops Kalman, Madgwick, Mahony, quaternions… and then somehow skips…

5 days ago
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RE: What activity recognition algorithms are used in wearables?

Honestly, it doesn’t really reduce them at all, lol.You still have to worry about windowing, sampling, and preprocessing,but you just don’t see the “w…

1 week ago
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RE: What activity recognition algorithms are used in wearables?

I always started with a minimal set. Otherwise, debugging would be a nightmare.The cleanest approach was to create a baseline with something like mean…

1 week ago
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RE: What activity recognition algorithms are used in wearables?

Good point. In real-time, that’s the first thing everyone thinks about.Usually, we compromise by setting the window to 3 seconds and updating the resu…

1 week ago
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RE: What activity recognition algorithms are used in wearables?

It’s not for nothing that they say you should double-check your window and feature set before changing your model in activity recognition.1. Window Si…

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

Yes, it does increase the management overhead. So, we usually separate the models, but share the preprocessing pipeline as much as possible. Alternati…

1 week ago
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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…

1 week 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…

1 week 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…

1 week 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 …

1 week 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 …

1 week 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…

1 week 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…

1 week 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…

1 week 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…

1 week 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…

2 weeks 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.

2 weeks 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…

2 weeks 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…

2 weeks 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…

2 weeks 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…

1 month 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…

1 month 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…

1 month 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…

1 month 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…

1 month 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…

1 month 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…

1 month ago