The lower-limb muscle activities during the daily lower-limb motions such as sitting down, standing up, squatting, walking, ascending and descending stairs motions have been studied to enable power-assist robotic systems to estimate human lower-limb motions based on muscle electromyographic (EMG) signals. The relationship between the lower-limb motions and the acti-vity levels of main muscles con-cerning the daily lower-limb motions are analyzed in this study. The human intention for lower-limb motion can be estimated based on the activation pattern of lower-limb mus-cles. The analyzed results would be used to design the controllers of the lower-limb power-assist robotic systems for physically weak persons.

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