著者

土谷 圭央 日下 聖 田中 孝之 松尾 祥和 小田 まこと 笹木 工 神島 保 山中 正紀

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集 (ISSN:21879761)

巻号頁・発行日

vol.82, no.843, pp.16-00072-16-00072, 2016 (Released:2016-11-25)

参考文献数

22

被引用文献数

6

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Anteflexion of the spine is essential for many physical activities of daily living. However, this motion places the lumbar disks because it generats heavy load due to changes in the shape of the lumbar spine and can lead to low back pain. In older to reduce low back pain, here we proposed a wearable sensor system configuration that can estimate lumbosacral alignment and lumbar load by measuring the shape of the lumbar skin when the lumbosacral alignment changes. The shape of the lumbar skin and posture angle are measured by using curvature sensors and accelerometers. In addition, the system must be constructed in consideration of the physique, in order to absorb in a variety of human. We proposed this system by measuring the body parameters of anteflexion and studied the change in dimensions of the lumbar spine from changes in posture. By extracting the dimensions of the lumbosacral spine in X-ray images, the attitude angle, body surface area and the dimensions of the lumbosacral spine have relevance. The lumbosacral dimensions calibration method was developed by using that relation. Lumbosacral alignment estimation considering the difference in physiques is developed, and lumbosacral spine alignment was to improve the estimation accuracy. The proposed method could improve accuracy lumbosacral alignment estimation.

著者

土谷 圭央 高氏 秀則 花島 直彦

出版者

公益社団法人 精密工学会

雑誌

精密工学会誌 (ISSN:09120289)

巻号頁・発行日

vol.79, no.11, pp.1110-1116, 2013-11-05 (Released:2014-01-05)

参考文献数

14

被引用文献数

1 1

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This paper proposes a high-speed and high-accuracy matching method for 3-D dot cloud data, and a method of expanding the scope of the matching. The proposed algorithm is designed to reduce the matching cost of ICP (Iterative Closest Point) algorithm by reducing the number of data. When the number of the data is decreased, the accuracy of the matching tends to become lower. However, we change the dot cloud data varying in the reduction rate progressively as the matching process progresses, and perform the matching with high speed and high accuracy. In this research we propose two types of stage processing depending on the magnitude relationship between the number of online data and offline data. One is the movement point type where online data is larger than offline data, and the other is the reference point type. Moreover, we expand the scope of matching by changing the number of reference points for the search points. We name this k-nearest neighbor stage processing. Our proposed methods are combined in order to achieve high-speed and large scope matching, which result in two techniques; the movement point type k-nearest neighbor stage processing, and the reference point type k-nearest neighbor stage processing. We perform some experiments using real data measured by a laser ranger to verify the effectiveness of the proposed techniques.