ACCELEROMETER: Accelerometer Graph

Figure 4 - Accelerometer readings: By 2.bp.blogspot.com
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Size: 383 x 342 · 19 kB · png

a popular app that claims to analyse your slumber by using your phone's built-in accelerometer to track how deeply you're slumbering. Sleep Cycle then wakes you up in the lightest sleep phase to leave you rested and relaxed, and produces a beautiful graph it uses accelerometer data to track the phases of your sleep and wake you up at the optimum point in your cycle. I eagerly tap out data on my caffeine and alcohol intake and exercise regimen. I sleep curled around my phone, delighted to wake up to a graph The forecast is displayed as a minute-by-minute graph you can play around with by scrolling for The technology works on the base of your phone’s accelerometer, so the app works fine on devices without compasses. Planets are color coded to show And, you can let the app access your phone's accelerometer in order to track your daily steps The Fitbit app was set up in a similar way. The graphs also indicate whether your BMI and fat mass are within the "normal" or healthy range relative to gMeter is new software for accelerometer equipped Windows Mobile smartphones designed but the programmer MoisisV promises to add GPS speed, g-force graphs and to calculated horsepower. Read more and download the app from this XDA-Developer thread Now, to the backstory of speed bump testing. Here are the R-package accelerometer graphs, followed by shock dyno plots, then the PSS9 and FCM. In each run, Tom drove 10mph over the bump, which had a trapezoidal shape and sharp vertical edges. While you .

Fingerprinting devices though the accelerometer and figures that in combination are unusual enough to work as a phone identifier. The graph below shows accelerometer data from 16 devices tested at an Apple Store: For the sake of the experiment, users techBASIC(TM) 1.1 extends its programming capabilities with interactive plots. Like an electrocardiogram, techBASIC's accelerometer program updates the graph continuously, sweeping from left to right with the most recent data as the iPhone is turned and moved. After placing your Android or iOS device under the corner of the sheet each night, it uses the device’s accelerometers to measure movement It also presents detailed data and graphs of sleep time and quality. During the day, it can even measure Stanford PhD candidate, Hristo Bojinov, drawing a graph of input and response from cell phone components, is working on a means to identify specific phones based on unique fingerprints of the device's microphone and accelerometer. His concerns for the .