![]() IMPORTANT: GIFs and snapshots are currently only be available for Door Force Alarms, Door Held Alarms, and 'Deny Access - No Door Access' events. All other video events captured within Genea will route you to your Meraki dashboard for review. Under the ' Meraki Settings' section on the integration set-up page, you can customize how long before or after an event occurrence is captured. To enable Snapshots available for review within your Genea activity log, click the toggle button next to ' Enable Video.' When enabled, the button will be blue in color. ![]() Once enabled, your system will capture and provide a link to review the event snapshots directly within you Genea activity log. You may capture up to 10 frames if the Snapshot option is enabled - 5 before the event occurs, and 5 after the event occurs. To set how many frames your Genea system will log before and after the event, move the slider next to the ' Snapshot (frames)' to the desired number of frames.The Genea mobile app is available for both iOS and Android devices. ![]() If you use an Android device, review the following information to learn how to use your Genea mobile key, and how to improve app reliability. There are three ways Android users can use their Genea mobile app to unlock gates and doors around their offices or communities. Tap functionality works similar to how an access card is used - by physically touching your mobile device to the reader. On Android devices you can 'Tap' via NFC or Bluetooth Smart, depending on your office or community reader capabilities. UNLOCK TIP: For greater Tap reliability, light up your phone screen, and hold the back side of your phone parallel against the reader. What to Do When Tap to Unlock Doesn't Work The front side of your phone will not work in all cases since the NFC chip is located on the backside of most devices. On some Android devices you may need to change a NFC setting in order for the Genea app to work correctly. We have successfully developed algorithms suitable for use with wrist-worn accelerometers for detecting certain types of physical activities the performance is comparable to waist-worn accelerometers for assessment of physical activity.Because there are so many different type of Android devices, where you find your app settings will depend upon your specific device model. The computational results demonstrated that the algorithm we developed can accurately classify certain types of daily activities, with high overall classification accuracy for both waist-worn GENEA (0.99) and wrist-worn GENEA (right wrist = 0.97, left wrist = 0.96). ![]() Features obtained from both fast Fourier transform and wavelet decomposition were extracted, and machine learning algorithms were used to classify four types of daily activities including sedentary, household, walking, and running activities. Acceleration data were collected at 80 Hz. Throughout, three GENEA accelerometers were worn: one at the waist, one on the left wrist, and one on the right wrist. m⁻²) completed an ordered series of 10-12 semistructured activities in the laboratory and outdoor environment.Sixty participants (age = 49.4 ± 6.5 yr, body mass index = 24.6 ± 3.4 kg The purpose of this study was to develop methods to classify physical activities into walking, running, household, or sedentary activities based on raw acceleration data from the GENEA (Gravity Estimator of Normal Everyday Activity) and compare classification accuracy from a wrist-worn GENEA with a waist-worn GENEA. Output is in arbitrary counts that can be classified by activity intensity according to published thresholds. Most accelerometer-based activity monitors are worn on the waist or lower back for assessment of habitual physical activity. ![]()
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