Human walking is a completely complicated activity in which both musculoskeletal and neural systems of the body are involved . Human aging strongly affect walking pattern so the risk of balance impairment is increased.In addition, most of elderly have the problem of osteoporosis so falling can cause serious fractures especially in lower limb joints such as ankle, knee and hip. As in most cases, the general circumstance of elderly such as blood pressure, heart rate, oxygen saturation ,etc is not proper , so restoration operatio will be challenging and burden extra cost. As the result of these matters, it will be very important to identify balance impairment in gait patterns especially in elderly people. In fact elderly classification in to two groups and recognizing the elderly who are disposed high risk of falling can prevent falling by applying walking aids or protective supports. Gait pattern can be explored by using 3 special kinds of parameters: EMG signals, kinematic and kinetic parameters.EMG signals are most recorded by surface electrodes and contain useful information about muscle activities. Kinematic parameters include displacement, velocity and acceleration of joints involved in walking such as angular/linear velocity or angular/linear displacement of the joints. Kinetic parameters refers to forces and moments that are responsible for changing body state during motion include moments and ground reaction forces (GRF) exerted to the feet .As the only contact region of the body during walking is the feet, the distribution of these forces are very effective in human balance.EMG, kinematic or kinetic signals contain important information about gait pattern and human balance but these information cannot be directly explored by the physician. However in the past decade most researchers are focused on kinematic parameters or combination of EMG and kinematic parameters, recording of these parameters need costly equipments such as Gait Analyzer or Motion Capture with at least 6 infrared cameras of high sensitivity arranged around the path way of walking .these equipments are rarely available in Iran labs and usually very expensive and costly. Another common equipment is force plate or platform which include 4 or 6 strain gauge or piezoelectric pressure sensors and used to obtain ground reaction forces and moments exerted to body during motion. In this paper we use a common six-channel strain gauge force plate with a pre-amplifier to obtain three force components and three moment components in reference planes: media-lateral, frontal and transverse planes. Kinetic data have a very irregular nature and simply noise polluted. In this paper we normalize the obtained data and rearrange them in to special matrixes as the inputs of a 3-layer feed forward neural network with a hidden layer. Actually we explore two major problem with kinetic data. The first one is to reduce the practical sampling frequency and the other is to classify kinetic patterns in two group of healthy and non-healthy people. We use both neural network and Anfis model to solve these problems and then compare the results. Keyword : Human Walking , Balance Impairment , Classification , Neural Network , Anfis Network