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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Pedometer and fall detection
 Vraňáková, Sofia ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
This work is focused on the issue of human activity sensing using inertial sensors built into intelligent devices and followed by detection of walk, detection of steps and fall from the accelerometer-scanned signal in the smartphone. The walk detection is performed by using signal envelope, a first signal difference and a standard deviation of the signal. The step detection is implemented by using the method of searching local maximum values and the customized filtering method. Fall detection is realized by using the method of searching maximum and minimum values and using the appropriate threshold values.
Detailed record
Pedometer and fall detection
 Vraňáková, Sofia ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
This work is focused on the issue of human activity sensing using inertial sensors built into intelligent devices and followed by detection of walk, detection of steps and fall from the accelerometer-scanned signal in the smartphone. The walk detection is performed by using signal envelope, a first signal difference and a standard deviation of the signal. The step detection is implemented by using the method of searching local maximum values and the customized filtering method. Fall detection is realized by using the method of searching maximum and minimum values and using the appropriate threshold values.
Detailed record

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