articleTop 1% cited
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
Applied Soft Computing · 2017 · Vol. 62 · pp. 915–922
Andrey Ignatov✉(ETH Zurich)
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign MonitoringHealthcare Technology and Patient MonitoringComputer scienceActivity recognitionConvolutional neural networkFeature engineeringAccelerometerArtificial intelligenceTask (project management)Feature extractionMachine learningPattern recognition (psychology)
Citations
798
FWCI
20.16
field-weighted impact
References
51
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers
Sensors · 2010 · 771 citations
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Sensors · 2016 · 2,567 citations
Human activity recognition with smartphone sensors using deep learning neural networks
Expert Systems with Applications · 2016 · 1,168 citations
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Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
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