摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器学习的新发现。据NewsRx记者从伦敦联合报报道，研究表明：“基于纺织品的柔性应变传感器由于重量轻、易弯曲和穿着舒适而受到广泛关注。然而，将纺织品的应变传感器集成到可穿戴传感设备中所面临的挑战包括需要卓越的传感性能、长期监测稳定性以及快速、方便的集成过程以实现全面监测。”这项研究的资金来自金属研究所高级材料实验室。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from London, United Ki ngdom, by NewsRx correspondents, research stated, “Flexible strain sensors based on textiles have attracted extensive attention owing to their light weight, fle xibility, and comfort when wearing. However, challenges in integrating textile s train sensors into wearable sensing devices include the need for outstanding sen sing performance, long-term monitoring stability, and fast, convenient integrati on processes to achieve comprehensive monitoring.” Financial support for this research came from Advanced Material Lab of the Insti tute of Metal Research.
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