**7. Acknowledgment**

This work was partly financed by the University of Siena, Italy.

#### **8. References**


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specific clinical context.

**7. Acknowledgment** 

**8. References** 

	- http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0016110

**20** 

*1P. R. of China* 

*2Japan* 

**Human Walking Analysis, Evaluation and** 

Bofeng Zhang1, Susu Jiang1, Ke Yan1 and Daming Wei1,2 *1School of Computer Engineering and Science, Shanghai University* 

*2Professor Emeritus, The University of Aizu, Fukushima,* 

**Classification Based on Motion Capture System** 

Gait analysis is the systematic study of human walking. It is helpful in the medical management of those diseases which affect the locomotion systems. Recently, the gait motion capture systems are becoming widely used by doctors and physical therapists for kinematics analysis and biomechanics and motion capture research, sports medicine and physical therapy, including human gait analysis and injury rehabilitation. This chapter describes some new progress on human walking analysis that our group made in the past

Generally, ageing causes many changes to neuromuscular system of a human being, for an example, his walking capabilities degenerate by ageing. Because these changes sometimes result in an increase the number of falls during daily walking, especially after the age of 75, it is very important to study the age related changes in the walking gait of elderly subjects. Many researchers studied stability of human walking gait and it was quoted that human

Many studies have been reported about the change in the kinematics parameters with age (Arif et al., 2004). This paper only focuses on the progress of walking modeling and walking stability. Especially, in order to simplify the method of data acquisition, this paper suggests process of reduction on dynamic stability features through feature selection. That will help

Various methods are used to overcome the difficulties imposed by the extraction of human gait features. Two approaches are being used for human gait analysis: model-based and

The non-model-based method is applied in image-based gait analysis (marker-less analysis). Feature correspondence between successive frames is based upon prediction, velocity, shape, texture and colour. Small motion between consecutive frames is the main assumption,

For the first one, a priori shape model is established to match real data to this predefined model, and thereby extracting the corresponding features once the best match is obtained. Stick models and volumetric models are the most commonly used methods. The model-

whereby feature correspondence is conducted using various geometric constraints.

walking gait stability decreases with age increasing the risk of falls in elderly people.

**1. Introduction** 

few years based on motion capture system.

us analyze stability in a more clear way.

**1.1 Background of walking model** 

non-model-based methods.

