On 8th November 2020, the IEEE AIUB Student Branch, in collaboration with the IEEE EMBS AIUB SB Chapter, successfully organized a webinar titled ‘Machine Learning for Human Gait Estimations’ through the online platform Google Meet. The webinar was conducted by Dr. Saaveethya Sivakumar, Student Representative, IEEE Region 10 (Asia Pacific Region), who mainly focused on the performance and collaboration of machine learning in the resolution of Human Gait.
The session was inaugurated by the opening remarks from Prof. Dr. A.B.M. Siddique Hossain, Advisor, IEEE AIUB Student Branch; Dean, Faculty of Engineering, AIUB, who talked about how technologies have developed from time to time and the ways they are easing off human efforts to a significant extent. He also highlighted the importance of artificial intelligence, machine learning, and python language in a wide range of Biomedical Engineering applications. He concluded by encouraging the participants to focus on developing their skills instead of running after grades only to compete in the current job market.
After that, Dr. Saaveethya Sivakumar started her session by briefly introducing herself and sharing her educational and professional background. She gave an elaborate explanation on gait and gait analysis along with the areas of its use and explained the different gait parameters and gait analysis methodologies using both laboratory and wearable systems. Then, she explained the working procedures of laboratory systems for gait measurement including its limitations and displayed a representation of the wearable model system showing how the data is collected and used from it. Besides, she also described different machine learning parts that are used in wearable systems for gait analysis.
Following that, Dr. Sivakumar talked about the significance of Artificial Neural Networks (ANN), including its basic functionality and the working process of the Artificial Neural Networks (ANN) training algorithm. Afterward, she talked about the ANN-based gait estimations, its current trends, and the potential future direction for the ANN-based gait estimations. She concluded by highlighting some limitations and challenges of these research works, including limited data, generalization, and change management. Then, an interactive question-answer session took place where the speaker answered the questions asked by the participants.
Then, Dr. Md. Hasan Imam, Counselor, IEEE AIUB Student Branch; Advisor, IEEE EMBS AIUB SB Chapter; Senior Assistant Professor, Faculty of Engineering, AIUB delivered the concluding speech emphasized the importance of machine learning in current times due to its wide range of applications. He motivated the participants to focus on different languages like Machine Language and Python. The session was graced by the presence of 110 registered participants.