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Скачать или смотреть Clothing Technology: Why Loose Clothes Could Be The Future Of Comfortable Wearables

  • uncover reality
  • 2026-02-14
  • 6105
Clothing Technology: Why Loose Clothes Could Be The Future Of Comfortable Wearables
technologytechclothingwearablestextileelectronicsinnovationfuturisticClothing Technology: Why Loose Clothes Could Be The Future Of Comfortable Wearables #tech #shortsengineeringrobotroboticsmachine learningartificial intelligenceautomationfuture technologytech newscgifitbitssmartwatchesmedicalParkinson
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Описание к видео Clothing Technology: Why Loose Clothes Could Be The Future Of Comfortable Wearables

Scientists Finally Revealed Why Loose Clothes Could Be the Future of Comfortable Wearables

Scientists at King’s College London have discovered that tracking human movement is more accurate when sensors are placed on loose clothing rather than tight suits or straps. Published in *Nature Communications*, the study shows that loose fabric can capture motion 40% more accurately and with 80% less data than traditional tight sensors.

The secret? Loose clothing acts as a “mechanical amplifier.” When you move, sleeves or pant legs fold, billow, and shift, creating amplified signals that make subtle movements easier to detect. Tight-fitting sensors, in contrast, can miss these small motions.

This breakthrough has exciting applications across health, robotics, and entertainment. Wearable devices like smartwatches or Fitbits could become more comfortable, integrated discreetly into everyday clothing. Medical researchers could track patients with conditions like Parkinson’s more accurately in natural settings, improving care and understanding of mobility-related diseases.

The findings also open doors for robotics and motion capture. By collecting real-world human movement data unobtrusively, robots could learn to mimic natural behavior, and CGI characters could be animated with greater realism—all without restrictive suits.

In short, loose clothing could revolutionize how we monitor movement, making technology more accurate, comfortable, and accessible for everyday life.

Read full article here: https://www.uncoverreality.in/2026/02...

Reference:
Tianchen Shen et al, Human motion recognition and prediction using loose cloth, Nature Communications (2026). DOI: 10.1038/s41467-025-67509-7

#science #technology #innovation #robotics #engineering #research #future #ai #robot #robots #automation #machinelearning #futuristic #discovery #ecofriendly #trending #viralvideo #unitedkingdom #technews #cgi #clothing #electronics #electronic #tech

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