This article reviews methods for analyzing human gait, focusing on both wearable and non-wearable systems, with an emphasis on clinical applications. It discusses the key gait parameters and semi-subjective methods used in clinical settings, followed by an overview of objective methods that use sensors to measure gait parameters. The review highlights that 40% of the articles analyzed were related to non-wearable systems, 37.5% used inertial sensor-based systems, and 22.5% were other wearable systems. The article emphasizes that portable systems based on body sensors are promising for gait analysis due to their precision, conformability, usability, and transportability. The paper discusses the different types of gait analysis techniques, including image processing, floor sensors, and wearable sensors. Image processing systems use cameras and other optical sensors to capture gait data, while floor sensors use pressure and force platforms to measure gait parameters. Wearable sensors, such as accelerometers, gyroscopes, and electromyography (EMG) sensors, are used to measure gait characteristics during daily activities. The review also discusses the advantages and disadvantages of different gait analysis systems, including non-wearable and wearable systems. Non-wearable systems are typically more accurate but require controlled environments, while wearable systems offer greater flexibility and portability. The article highlights the potential of wearable sensors in clinical applications, such as monitoring gait disorders and providing real-time feedback for gait retraining. The paper concludes that wearable sensors are promising for gait analysis due to their ability to provide accurate and reliable data in real-time, making them suitable for a wide range of clinical applications. The review also emphasizes the importance of continued research in this field to improve the accuracy and effectiveness of gait analysis systems.This article reviews methods for analyzing human gait, focusing on both wearable and non-wearable systems, with an emphasis on clinical applications. It discusses the key gait parameters and semi-subjective methods used in clinical settings, followed by an overview of objective methods that use sensors to measure gait parameters. The review highlights that 40% of the articles analyzed were related to non-wearable systems, 37.5% used inertial sensor-based systems, and 22.5% were other wearable systems. The article emphasizes that portable systems based on body sensors are promising for gait analysis due to their precision, conformability, usability, and transportability. The paper discusses the different types of gait analysis techniques, including image processing, floor sensors, and wearable sensors. Image processing systems use cameras and other optical sensors to capture gait data, while floor sensors use pressure and force platforms to measure gait parameters. Wearable sensors, such as accelerometers, gyroscopes, and electromyography (EMG) sensors, are used to measure gait characteristics during daily activities. The review also discusses the advantages and disadvantages of different gait analysis systems, including non-wearable and wearable systems. Non-wearable systems are typically more accurate but require controlled environments, while wearable systems offer greater flexibility and portability. The article highlights the potential of wearable sensors in clinical applications, such as monitoring gait disorders and providing real-time feedback for gait retraining. The paper concludes that wearable sensors are promising for gait analysis due to their ability to provide accurate and reliable data in real-time, making them suitable for a wide range of clinical applications. The review also emphasizes the importance of continued research in this field to improve the accuracy and effectiveness of gait analysis systems.