Hand movement classification from measured scattering parameters using deep convolutional neural network

• Published in: Measurement : journal of the International Measurement Confederation Vol. 151; p. 107258
• Main Authors: Gupta, Sindhu Hak, Sharma, Aayush, Mohta, Mohit, Rajawat, Asmita
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.02.2020; Elsevier Science Ltd
• Subjects: Accuracy; Antennas; Artificial neural networks; Classification; Compact dual-band antenna; Computer simulation; DCNN; Human body; Human motion; Human movement; Motor ability; Movement; Network analysers; Neurodegenerative disorders; Parameter identification; Rehabilitation; S11; S21; Sensors; UWB; WBAN; DCNN; WBAN; UWB; Accuracy; S11; S21; Compact dual-band antenna; Human movement; Neurodegenerative disorders

•Electromagnetic signals radiated by antenna during different movements are measured by VNA.•For DCNN based classification, frequency domain analysis has been carried out.•Data set has been recorded with the help of fabricated transmitting and receiving antennas.•UWB range has been chosen as it is s...