Gesture Recognizer and Communicator using Flex Sensors and Accelerometer with Logistic Regression

Krishnan, Arjun; Vijay, Anirudh; Balaji, M; Bs, Sreeja

doi:10.1109/iciss49785.2020.9315897

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Supervised Machine Learning1

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2022

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Cited by 2 publications

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“…In gesture recognition and communication, sensors such as flex sensors and accelerometers are attached to a glove, and machine learning models are employed to predict the gesture by obtaining the values from the sensors. Krishnan and Vijay et al [12] used logistic regression models to perform the classification of gestures from values of these sensors.…”

Section: Supervised Machine Learningmentioning

confidence: 99%

Advances in Machine Learning for Sensing and Condition Monitoring

Ao¹,

Gelman²,

Karimi³

et al. 2022

Applied Sciences

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In order to overcome the complexities encountered in sensing devices with data collection, transmission, storage and analysis toward condition monitoring, estimation and control system purposes, machine learning algorithms have gained popularity to analyze and interpret big sensory data in modern industry. This paper put forward a comprehensive survey on the advances in the technology of machine learning algorithms and their most recent applications in the sensing and condition monitoring fields. Current case studies of developing tailor-made data mining and deep learning algorithms from practical aspects are carefully selected and discussed. The characteristics and contributions of these algorithms to the sensing and monitoring fields are elaborated.

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Section: Supervised Machine Learningmentioning

confidence: 99%