HYBRID EVENT: You can participate in person at Baltimore, Maryland, USA or Virtually from your home or work.
T S Murugesh, Speaker at Materials Science Conferences
Associate Professor. Department of Electronics and Communication Engineering, Government College of Engineering Srirangam,, India
Title : Design of a smart wearable for human fall detection


This lecture addresses a potential concern faced by the majority of aged ones left unaccompanied at home. Nowadays the majority of the people are in a position to go for work leaving behind their aged parents all alone at home. Even at their work location, they continue to brood about them that may cause distress affecting their throughput. If any untoward fall owing to poor health conditions or slippery floors happen, it usually goes unnoticed and the aged ones are deprived of the potentially lifesaving “golden hour” treatment. Even though unprecedented falls can occur both to youngsters and the elderly, it is more prevalent among the elders. To address and assuage such sort of problems faced by the elderly, a wrist-wearable fall detection system is designed that employs a machine learning model for movement tracking and to detect a fall just in case. During a fall, an automated call is generated to the emergency services as well as to a caretaker through a GSM module. Two datasets are collected, trained and tested on seven different machine learning models, and the results discussed.
What will audience learn from your presentation? 
? Falls are usually unexpected and happen to be a common public health issue of concern for all age groups. This crucial fall detection problem is addressed to offer a positive impact and to mitigate the patients' post-traumatic disorders. The consequences of falls are even more dangerous which might even lead to partial/full disability, the need for permanent care, reduced activity, and serious psychological issues like fear of falling, decreased self-confidence, and increased dependence on others to carry out even simple routine day-to-day chores. The proposed methodology develops innovative devices for the healthcare monitoring while ensuring immediate treatment, as well aids in patient health improvement.
? The audience/other faculty in their job can use the lecture to expand their research or avenues of teaching. The audience can understand the impacts and understand the methodology explained in the lecture with ease.
? The lecture indeed provides a practical solution to the common problem faced by elderly all across the globe.
? The proposed methodology could simplify or make a designer’s job definitely more efficient.
? It aids to improve the design accuracy, while also providing new information to assist in a design problem.
? It also has the possibility of making this a viable lucrative product in healthcare solution.


Dr.T.S.Murugesh possesses a vast experience of 22+ years in academia in Analog and Digital Electronics, Automation and Control, IoT, System design, Instrumentation and Computational Bio-engineering fields. He has delivered many invited lectures, has around three-dozen peer-reviewed indexed publications, organized a one-week AICTE Training And Learning (ATAL) Academy sponsored FDP, conducted few workshops at national level, reviewer in IEEE and few other peer-reviewed journals, etc. He has acted as a Primary Evaluator for Government of India’s Smart India Hackathon 2022 as well as Toycathon 2021 and also as a Judge in the Grand Finale for the “Toycathon 2021”. He is a hackathon enthusiast and his team has won the second Prize in the IFG x TA Hub Hackathon 2022. He has authored 2 books for CRC Press, Taylor & Francis Group (UK) and authoring a book for Nova Science Publishers, USA. He also holds the professional body membership of Institution of Engineers (India).