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The influence of wearing a wallet in your sitting posture — A quantitative study using an intelligent chair

机译:在坐姿佩戴钱包的影响 - 一种智能椅子的定量研究

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Wearing an object in the rear pocket alters the interface between the body and the chair, leading to the compression of the sciatic nerve. Prolonged sitting behaviors with such objects can lead to a health disorder called Piriformis Syndrome. In this paper, we use an intelligent office chair in order to detect the wallet usage as a “bad sitting posture”, as sitting on a wallet can create an uneven sitting surface, subsequently tilting the pelvis in the frontal plane. The system is comprised of a pneumatic circuit and is able to detect and classify, based on Artificial Neural Network, 12 standardized sitting postures, with an accuracy of 80.9%. In this test, we asked 36 subjects (24 males-M and 12 females-F) to wear a wallet in the back pocket in 12 testing levels, based on 3 wallets sizes (small, medium and large) and 4 levels of wallet heights (no paper cards, 8 cards, 16 cards and 24 cards). We detected the usage of wallets as an incorrect posture in 58.8% for all levels (61.1% for Male and 54.2% for Female). We observed that the size of the wallet did not alter results significantly (60.4% for smaller area versus 57.6% in the larger area), while the wallet height had a large influence (46.2% for no cards versus 71.3% for 24 cards). We also tested wallet usage in the front pocket with an average of 16.7%, showing that this usage doesn't alter significantly the sitting posture. This work shows that the creation of an alert protocol for the wallet usage is possible to be implemented in our intelligent chair system.
机译:在后袋中佩戴物体改变了身体和椅子之间的界面,导致坐骨神经的压缩。随着这些物体的长时间的坐着行为可导致患有梨状肌综合征的健康障碍。在本文中,我们使用智能办公椅以检测钱包用法作为“不良坐姿”,因为坐在钱包上可以产生不均匀的坐表面,随后倾斜前平面中的骨盆。该系统由气动电路组成,能够基于人工神经网络12标准化坐姿,精度为80.9%的精度来检测和分类。在这项测试中,我们要求36个科目(24名Males-M和12个女性-F),在12个测试水平中佩戴在后袋中的钱包,基于3个钱包尺寸(小,中型和大)和4级钱包高度(没有纸牌,8张牌,16张卡片和24张牌)。我们检测到钱包的用法作为所有级别的58.8%(男性61.1%,女性的54.2%)。我们观察到钱包的尺寸没有显着改变的结果(较小区域的较小面积的60.4%),而钱包高度的影响力很大(对于24张没有3.3%而46.2%。我们还在前袋中测试了钱包用量,平均为16.7%,表明这种用法不会显着改变坐姿。这项工作表明,可以在我们的智能椅系统中创建用于钱包使用的警报协议。

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