Can we modify the smartwatch to include new sensors? We want to add a Blood Pressure sensor(optical)?
Does Sony make a BP sensor that is compatible with this watch?
NO
I am considering making a proof-of-concept using my smartphone sensors but before I crack open the Android IDE I want to ask if this is even possible:
- Can I acquire 9 sensor readings (acceleration, rotation, compass) with reasonable precision (8-bit) and stream above 30 Hz over Bluetooth with under 10 mS lag? The above numbers are not exact requirements, and higher is better. Ideally I would probably shoot for 60 Hz and 5 mS lag and 16-bit resolution, although I'm fairly confident the sensors don't have that level of precision.
- I have a Note 4, if it matters.
-This is not for distribution or even for another device. It is only a (hopefully) quick proxy for the hardware I eventually plan to build so that I can focus on other design tasks.
thanks
TripodTools TidyMotion: Remove moving objects from your photos
It's difficult to get this one great photo of that busy touristic square? TidyMotion generates shots free of moving objects and takes out cars or people in motion from your photos. The app will capture a sequence of 3 or 9 images, determine the regions of motion in the scene and replace these regions with the proper image background.
Available at Google Play Store - search for "TripodTools"
TripodTools: Intuitive - Efficient - Fun
Innovative Apps to use your Smartphone Camera in a Different Way!
When it comes to smartphone photography, the most challenging shots are always going to be night shots. Situations with limited light most often result is grainy unusable photos for devices with weaker cameras. The Kirin 970’s AI chip helps to solve this issue with “Handheld Super Night Mode”.
One way to achieve better night shots is to set your phone on a tripod and let your camera use a longer exposure and higher ISO. This is a bit inconvenient as most people obviously wont be walking around with tripods. To solve this issue, Honor uses the Kirin 970 to add “Handheld Super Night Mode” to their phones. This mode lets you take better night shots without having to setup any equipment.
Handheld Super Night Mode works by using powerful AI algorithms, and the quick processing ability of its Kirin 970. There are several techniques used to enhance your night time photos.
AI Detection of Handheld State
One of the key factors of Handheld Super Night Mode is how the phone uses the AI chipset to detect any hand-held jitter of the phone. To realize accurate and efficient detection, the AI system collected and analyzed tens of thousands of data records reflecting different types of photographers and their camera and tripod usage methods, designing a machine learning logic to understand their habits. As a result of implementing this massive amount of data, the Kirin 970 is able to detect when Handheld super night mode is needed in 0.2 seconds. Using this data, the average users is now able to take better night shots without having to use a tripod.
AI Photometric Measurement
The AI photometric measurement system controls the camera’s light intake. After you tap the shutter button, The AI will automatically set the exposure and number of frames based on the lighting scenario, brightness of the preview image, distribution of light sources, and jitter.
AI Image Stabilization
After all of your frames are captured from your night shot, they are merged into a single image. It is common that surring this process, night shots often turn out blurry. To avoid this, before the synthesizing process takes place, the AI the clearest frames and discards any of the bad ones. The clearest frames are used as the standard for the image, while the other frames that the AI has not discarded are automatically aligned. The AI-powered Kirin 970 chip detects feature points within each frame, matching these points and aligning them to to produce the cleanest image possible.
Image synthesis
The final step in Super Night Mode is image synthesis. For this step, customized algorithms have been computed for the AI system to increase the number of short-exposure frames in bright areas to avoid overexposure and the number of long-exposure frames in dark areas to improve detail retention. Frame differences are detected pixel by pixel. If differences are large, AI determines that alignment failed around the edges and conducts correction and repair to ensure the edge regions are still crisp and sharp enough after synthesis. Noise reduction is performed on multiple frames, thereby improving the image’s signal-to-noise ratio, and achieving a clearer, cleaner, and brighter night shot.
Check out photo samples using walking night mode here.
I bought the Samsung Gear Sport and am very unhappy with the optical heart rate monitor.
I have a Polar H10 chest strap that delivers much more accurate values.
Unfortunately the watch itself does not offer the possibility to connect the strap.
There is only one workaround. If you use the watchface "Sporty Watch", you can use an external sensor inside the app.
But that is not enough for me. "Sporty Watch" is nice but does not offer all functions I would like.
Actually I want the external sensor to be available for all apps.
If that doesn't work, then I have to part with the clock again
Does anyone have an idea?