A seismic sensor based human activity recognition framework using deep learning
Activity recognition has gained attention due to the rapid development of
microelectromechanical sensors. Numerous human-centric applications in healthcare,
security, and smart environments can benefit from an efficient human activity recognition
system. In this paper, we demonstrate the use of a seismic sensor for human activity
recognition. Traditionally, researchers have relied on handcrafted features to identify the
target activity, but these features may be inefficient in complex and noisy environments. The …
microelectromechanical sensors. Numerous human-centric applications in healthcare,
security, and smart environments can benefit from an efficient human activity recognition
system. In this paper, we demonstrate the use of a seismic sensor for human activity
recognition. Traditionally, researchers have relied on handcrafted features to identify the
target activity, but these features may be inefficient in complex and noisy environments. The …
[PDF][PDF] A seismic sensor based human activity recognition framework using deep learning
Activity recognition has gained attention due to the rapid development of
microelectromechanical sensors. Numerous human-centric applications in healthcare,
security, and smart environments can benefit from an efficient human activity recognition
system. In this paper, we demonstrate the use of a seismic sensor for human activity
recognition. Traditionally, researchers have relied on handcrafted features to identify the
target activity, but these features may be inefficient in complex and noisy environments. The …
microelectromechanical sensors. Numerous human-centric applications in healthcare,
security, and smart environments can benefit from an efficient human activity recognition
system. In this paper, we demonstrate the use of a seismic sensor for human activity
recognition. Traditionally, researchers have relied on handcrafted features to identify the
target activity, but these features may be inefficient in complex and noisy environments. The …
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