Wearable_Insight_Forum

 

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Topics: 99 / Replies: 375
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RE: wearables designed for game-playing

It’s different than you might think. The Oculus Quest 2 is standalone, so you can play games right away without a PC, and it’s wireless, making it eas…

6 months ago
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RE: Can wearables track changes in body composition over a long period of time to predict health risks such as obesity or muscle loss?

Yes, it’s for reference only now, but in the long term, it’s expected to enable preventative measures and even personalized health management.

6 months ago
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RE: Can wearables track changes in body composition over a long period of time to predict health risks such as obesity or muscle loss?

Yes. Analyzing long-term patterns with AI and machine learning will enable more reliable predictions. As sensors become more precise, body fat and mus…

6 months ago
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RE: Can wearables track changes in body composition over a long period of time to predict health risks such as obesity or muscle loss?

That’s right. These days, devices like Fitbit can track weight changes, heart rate, and activity patterns well, but they can’t measure muscle and fat …

6 months ago
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RE: Can wearables track changes in body composition over a long period of time to predict health risks such as obesity or muscle loss?

Well, they’re not completely accurate. Most of the time, they’re based on indirect data. They analyze long-term trends by looking at things like activ…

6 months ago
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RE: How important is the integration between wearable devices and nutrition tracking apps, and the additional benefits it provides.

Exactly. The AI analyzes my body composition, activity patterns, and health goals to provide personalized guidance, like, “Today, reduce cardio and fo…

6 months ago
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RE: How important is the integration between wearable devices and nutrition tracking apps, and the additional benefits it provides.

There’s a significant difference. For example, the wearable receives real-time activity, heart rate, and calorie consumption data, and the nutrition a…

6 months ago
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RE: For durability and environmental adaptability, “How do outdoor sports wearables respond to environmental factors such as waterproofing, dustproofing, and temperature changes?

Yes. The internal components are coated with an anti-corrosion coating to make them resistant to salt and moisture. So, even if you use it for beach r…

6 months ago
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RE: For durability and environmental adaptability, “How do outdoor sports wearables respond to environmental factors such as waterproofing, dustproofing, and temperature changes?

That’s due to the chemical properties of the battery. These days, they use batteries with good low-temperature performance or incorporate battery mana…

6 months ago
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RE: For durability and environmental adaptability, “How do outdoor sports wearables respond to environmental factors such as waterproofing, dustproofing, and temperature changes?

Yes, basically, the first number is the dust protection rating, and the second is the water protection rating. For example, IP67 is completely dust-pr…

6 months ago
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RE: What is the direction of development of wearable game controllers using motion recognition technology?

Yes, exactly. Combining an AR/VR headset with full-body tracking allows you to replicate the motions of picking up a sword and swinging it, or blockin…

6 months ago
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RE: What is the direction of development of wearable game controllers using motion recognition technology?

That’s highly likely. If combined with AI, in-game characters could read facial expressions and gestures and react accordingly. For example, if you sm…

6 months ago
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RE: What is the direction of development of wearable game controllers using motion recognition technology?

Yes, it’ll almost reach that level. Right now, it’s just my hands and arms, but in the future, if I wear a full-body suit, it’ll recognize everything …

6 months ago
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RE: What are the key factors driving innovation in wearable technology among top companies?

Yes, that was the key. Thanks to technological miniaturization and design innovation, we can make devices as small as smart rings or compact Bluetooth…

6 months ago
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RE: What are the key factors driving innovation in wearable technology among top companies?

These days, devices are capable of this thanks to IoT and 5G connectivity. For example, the Samsung Galaxy Watch can turn on lights and check the stat…

6 months ago
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RE: What are the key factors driving innovation in wearable technology among top companies?

Yeah, these days, Apple Watches and Fitbit Senses can monitor everything from electrocardiograms to blood oxygen levels, skin temperature, and even st…

6 months ago
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RE: How do startups compete with established giants like Apple, Samsung, and Fitbit in the wearable sector?

Yes, that’s a huge advantage. By securing early customers through platforms like Kickstarter or Indiegogo and sharing your product story on social med…

6 months ago
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RE: How do startups compete with established giants like Apple, Samsung, and Fitbit in the wearable sector?

Of course! For example, Whoop provides detailed heart rate recovery data to professional athletes, and Oura Ring specializes in sleep and stress analy…

6 months ago
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RE: How do startups compete with established giants like Apple, Samsung, and Fitbit in the wearable sector?

Yes, but the key is creating value that big companies can’t easily match. For example, targeting a specific niche market or being the first to introdu…

6 months ago
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RE: Tell me about the wearable product case of Recurrent Neural Networks (RNNs), an algorithm that is useful for analyzing time series data.

Exactly. By analyzing ECG or blood sugar data in chronological order, we can detect abnormal patterns and predict the likelihood of disease. We can al…

6 months ago
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RE: Tell me about the wearable product case of Recurrent Neural Networks (RNNs), an algorithm that is useful for analyzing time series data.

That’s right! RNNs can analyze time-series data like heart rate, movement, and oxygen saturation to distinguish between light sleep, deep sleep, and R…

6 months ago
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RE: Tell me about the wearable product case of Recurrent Neural Networks (RNNs), an algorithm that is useful for analyzing time series data.

Yes, simply looking at step counts doesn’t take advantage of RNNs’ strengths. RNNs are strong at understanding changes over time, so they can learn pa…

6 months ago
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RE: Describe wearable device products with linear regression used to predict the user’s exercise performance or estimate calorie consumption during exercise.

Exactly. While the exact algorithms for each product aren’t disclosed, the core idea is that statistical modeling and data analysis predict things lik…

6 months ago
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RE: Describe wearable device products with linear regression used to predict the user’s exercise performance or estimate calorie consumption during exercise.

That’s right. For example, the wearable blood pressure sensor developed by KAIST models the relationship between sensor voltage and actual blood press…

6 months ago
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RE: Describe wearable device products with linear regression used to predict the user’s exercise performance or estimate calorie consumption during exercise.

Well, not 100%. The basic principle is correct: it models the linear relationship between variables like exercise time, heart rate, and weight and cal…

6 months ago
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RE: Please describe an example of applying the AutoRegulatory Integrated Moving Average (ARIMA) algorithm of Time Series Forecasting (Time Series Forecasting) to wearables.

Yes, that’s correct. For example, sleep trackers analyze past sleep data to predict future sleep stages or estimate daily activity levels based on act…

6 months ago
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RE: Please describe an example of applying the AutoRegulatory Integrated Moving Average (ARIMA) algorithm of Time Series Forecasting (Time Series Forecasting) to wearables.

That’s correct. ARIMA is primarily used for preprocessing purposes like data stabilization, pattern analysis, and missing value correction, or combine…

6 months ago
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RE: Please describe an example of applying the AutoRegulatory Integrated Moving Average (ARIMA) algorithm of Time Series Forecasting (Time Series Forecasting) to wearables.

To some extent, it’s possible. However, wearable data patterns vary from person to person, so it’s more useful for predicting short-term heart rate or…

6 months ago
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RE: Withings’ Omnia AI smart mirror with AI technology goes beyond just mirrors to provide a variety of features for health care and well-being

Yes, it offers virtual fittings and skin condition analysis. It even offers styling tips and skincare advice, so it goes beyond simple health care and…

6 months ago
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RE: Withings’ Omnia AI smart mirror with AI technology goes beyond just mirrors to provide a variety of features for health care and well-being

That’s right. The AI analyzes data like your weight, body fat, and heart rate to provide a cardiovascular health score and even recommend customized e…

6 months ago
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