Seating System with Adjustable Sheet and Body Surface Measurement

2016 ◽  
Vol 28 (1) ◽  
pp. 79-85
Author(s):  
Takehito Kikuchi ◽  
◽  
Isao Abe

[abstFig src='/00280001/08.jpg' width=""220"" text='Wheel chair with adjustable sheets' ]The seat is an important interface between many types of machines and their users, able-bodied and disabled users alike. In this work, new seating system with adjustable sheets and body surface measurement is developed to improve the sitting postures and pressure distributions for patients with deformed backbones. A basic structure and adjustment method for the adjustable sheet is proposed. In addition, a way of using a Microsoft Kinect sensor to measure lengths is also developed and utilized to adjust the seating system. Evaluation tests are conducted on a healthy subject with different mock spinal deformations, and pressure distributions and postures of the subject are evaluated. The proposed method successfully averages pressure on the model and also adjusts his posture, simultaneously reducing pressure and increasing the contact area of the back.

2017 ◽  
Vol 26 (12) ◽  
pp. e382-e389 ◽  
Author(s):  
James D. Wilson ◽  
Jennifer Khan-Perez ◽  
Dominic Marley ◽  
Susan Buttress ◽  
Michael Walton ◽  
...  

2012 ◽  
Vol 19 (2) ◽  
pp. 4-10 ◽  
Author(s):  
Zhengyou Zhang

2020 ◽  
pp. 114179
Author(s):  
Lourdes Ramirez Cerna ◽  
Edwin Escobedo Cardenas ◽  
Dayse Garcia Miranda ◽  
David Menotti ◽  
Guillermo Camara-Chavez

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 286 ◽  
Author(s):  
Ali Al-Naji ◽  
Kim Gibson ◽  
Sang-Heon Lee ◽  
Javaan Chahl

2013 ◽  
Vol 2 (4) ◽  
pp. 28-37 ◽  
Author(s):  
Maliheh Fakhar ◽  
Saeed Behzadipour ◽  
Amir Mobini

In this study, motion performance indices based on the kinematics of upper body have been presented and compared to be used in a home-based rehabilitation device. Microsoft Kinect sensor is used to extract and calculate such indices. A set of experiments has been designed and carried out in which, kinematic data of three patients has been recorded. Finally, the selected indices have been calculated, and the results were compared with those of a healthy subject.


2019 ◽  
Vol 277 ◽  
pp. 03005
Author(s):  
Abrar Alharbi ◽  
Fahad Alharbi ◽  
Eiji Kamioka

Human gait is a significant biometric feature used for the identification of people by their style of walking. Gait offers recognition from a distance at low resolution while requiring no user interaction. On the other hand, other biometrics are likely to require a certain level of interaction. In this paper, a human gait recognition method is presented to identify people who are wearing long baggy clothes like Thobe and Abaya. Microsoft Kinect sensor is used as a tool to establish a skeleton based gait database. The skeleton joint positions are obtained and used to create five different datasets. Each dataset contained different combination of joints to explore their effectiveness. An evaluation experiment was carried out with 20 walking subjects, each having 25 walking sequences in total. The results achieved good recognition rates up to 97%.


2020 ◽  
Vol 25 (2) ◽  
pp. 79-94
Author(s):  
Ditte Rudå ◽  
Gudmundur Einarsson ◽  
Jannik Boll Matthiassen ◽  
Christoph U. Correll ◽  
Karsten Gjessing Jensen ◽  
...  

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