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RISS 인기검색어
- 검색키워드
- 저자 : ( Vigneswari Gowri ) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Virtual health monitoring - A robot based approach
( Vigneswari Gowri ),( Prabhu Sethuramalingam ) 한국감성과학회 2021 한국감성과학회 국제학술대회(ICES) Vol.2021 No.-
Health monitoring and care is been considered as the major field in medical technological advancements. Sensors and wireless communication technologies has been applied with learning techniques to design low-cost, and low power integrated circuits with intelligent systems. This system detects, measures and analyses the health parameters such as Sp02, Heart rate, ECG and Body temperature. This system is capable of analyzing, processing and communicating the sensor data in real-time using Wi-Fi to achieve a seamless data transfer. These systems become an inseparable part of the medical environment both to the patient and the doctor. It enables the information transfer at a faster and accurate manner. Integration of these systems with robots has a major advantage of food and medicine delivery, UV sanitization and haptic video calling. Applied Machine learning algorithms with experimentation such as Min-max algorithm, Feature selection and SVM gives refines the data with most accurate values and predicts the medicine or further treatment to be provided. Along with this, robot integrated with this system serves as an emotional support with the sensor values. This can predict the patient condition on emotional basis and plays songs or movies of their preference and calls their paired friends or relatives which boosts their energy and normalizes the body parameters. The result of the combined algorithms gives 96.2% accuracy which can be improved on further classification of obtained data.
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Virtual health monitoring - A robot based approach
( Vigneswari Gowri ),( Prabhu Sethuramalingam ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0
Health monitoring and care is been considered as the major field in medical technological advancements. Sensors and wireless communication technologies has been applied with learning techniques to design low-cost, and low power integrated circuits with intelligent systems. This system detects, measures and analyses the health parameters such as Sp02, Heart rate, ECG and Body temperature. This system is capable of analyzing, processing and communicating the sensor data in real-time using Wi-Fi to achieve a seamless data transfer. These systems become an inseparable part of the medical environment both to the patient and the doctor. It enables the information transfer at a faster and accurate manner. Integration of these systems with robots has a major advantage of food and medicine delivery, UV sanitization and haptic video calling. Applied Machine learning algorithms with experimentation such as Min-max algorithm, Feature selection and SVM gives refines the data with most accurate values and predicts the medicine or further treatment to be provided. Along with this, robot integrated with this system serves as an emotional support with the sensor values. This can predict the patient condition on emotional basis and plays songs or movies of their preference and calls their paired friends or relatives which boosts their energy and normalizes the body parameters. The result of the combined algorithms gives 96.2% accuracy which can be improved on further classification of obtained data.
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