Wearables and Holdables
Use Reality AI to detect how customers are behaving while using, holding or wearing your device.
Build the next generation of connected consumer, health, and medical devices
Use accelerometers, sound, and medical/biometric sensors to identify specific human activities, surrounding context and health indicators. Our technology easily detects the most subtle movements, in high-variation activities and noisy data.
Typical sample rates when working with accelerometers and vibration sensors
You'll get your best results with Reality AI when you use time waveforms as your input data and you select an appropriate sample rate. If time waveform isn't practical, we can also work with FFT as input - though we prefer as much frequency and time resolution as possible. In some cases our tools can get good results with Peak-to-Peak, RMS and similar values, but the more information the tools can get in the frequency and time domains, the better.
Learn more with our Technical Whitepaper
Explore the technical details behind the Reality AI approach to machine learning with signals