Abstract: In recent years, desk workers sitting in a chair for many hours have some problems: swelling of lower limbs, congestion, pressure ulcer and etc. This study aims to clarify the optimal seat angles. For this aim, the changes in lower limb blood flow causing these symptoms were measured to each combination of the seat angles. As a result, it was confirmed that the shear and compressive forces between the buttock and the seat fluctuated by the seat angle strongly influence lower limb blood flow. And the possibility to optimize the seat angles using these forces was indicated

• Publication Date: 13-Oct-2013
• DOI: 10.15224/978-981-07-7965-8-55
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Abstract: Direct Human Input (DHI) is an input methodology for Human Machine Interfaces (HMI). Use of DHI eliminates physical input devices as input data is collected directly from the signals generated by the human body. Various varieties of DHI exists of which Electromyogram (EMG) is found to have properties that makes it readily applicable. In this work, the capability of EMG to detect facial expressions of the user has been utilized to create a generalized interface that processes EMG signals into machine commands in accordance with the user’s facial expressions. The interface is essentially a combination of dimension reduction and classification algorithms that classifies EMG signals into facial expressions to activate machine commands correlated with the estimated facial expression. Linear Discriminant Analysis and Support Vector Machines have been used for dimension reduction and classification respectively. The interface has been found to perform satisfactorily with a classification accu

• Publication Date: 13-Oct-2013
• DOI: 10.15224/978-981-07-7965-8-56
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