/ Smartphone / Health /


Weigh yourself using your smartphone and no additional hardware

Volume from camera


You could take a photo or video of yourself. The software would extrapolate volume and object weight by cross referencing image data bases.

Weight Model DB


Simply uses a Visual Analytical Comparison Database. This database would be propagated using a finely-tuned comparative 3D model/mass/weight system which would then output a database of comparative visual/weight images. The algorithm would compare a subject’s submitted image (and height) with a databased image to precisely “guess the weight”. Kind of an image-to-3D weight analyzer.

Angle of Mattress Incline


Okay, so what if you were to stand in the centre of your mattress each day and place your smartphone so it was resting against your foot. The incline your smartphone is on can be measured with the compass / gyro and will determine your mass. The problem is that sheets and blankets will drastically influence it, so ideally there would be no coverings on the mattress.

Jump to Weigh


I’m not completely sure if this is possible, but I believe there would be a way to measure weight by jumping alone. If the device data inputs could measure the peak height of the jump and then the peak velocity reached on the descent, then a calculation should be able to determine the mass of the object. The tricky part is getting a consistent trajectory, not necessarily the height as that will be measured, but any movement on the x / z axis will likely influence the figures.

Office Chair Decelleration


So after exploring the jumping approach, it appears that there won’t be enough variation in velocity / acceleration to accurately differentiate weights. So how could we observe a similar effect but with increased differentiation? Enter, the humble office chair. The time required to go from the highest setting to the lowest setting of a gas lift office chair will vary depending on the weight applied. Obviously calibration will be required for each chair, however once beyond that, a few early attempts show very consitent outcomes.

I see the user opening the smartphone application and selecting ‘weigh yourself’. The user will then have 5 seconds to place the device in a fixed position relative to the chair – on the chair itself, or firmly in a pocket. Once the time is up, the device will beep, signalling that the user can now release the chair. Using the required data sensors (I’m not entirely sure which ones), the phone will commence timing once the chair starts to move and complete timing once the chair has stopped. Using the data from the initial calibration each time should be able to be converted into a weight measurement.

The biggest hurdles to overcome will be accurately commencing and completing the timer.

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