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# XENSIV™ Radar Gestures | |
## Overview | |
The XENSIV™ Radar Gestures library is designed to detect human hand gestures using XENSIV™ FMCW radar sensor. | |
The library utilizes neural networks & advanced DSP techniques to recognize currently following hand gestures, | |
* PUSH | |
* SWIPE_UP | |
* SWIPE_DOWN | |
* SWIPE_LEFT | |
* SWIPE_RIGHT | |
The detection range of the hand gestures is supported from 0.2 m through 1.0 meters in line of sight from the radar sensor. | |
## Features | |
* Gesture recognition through three simple APIs | |
* Delivered as statically linkable library for GCC_ARM, ARM and IAR toolchains | |
* Support for both **softfp** (software emulated floating point) & **hardfp** (hardware dedicated floating point) variants | |
* Low latency detection: detection time of less than 1 second | |
* Detailed results with confidence value on each detected class of gestures | |
## More information | |
For more information, refer to the following documents: | |
* [XENSIV™ Radar Gesture API Reference Guide](https://infineon.github.io/xensiv-radar-gesture/html/index.html) | |
* [ModusToolbox Software Environment, Quick Start Guide, Documentation, and Videos](https://www.cypress.com/products/modustoolbox-software-environment) | |
* [PSoC 6 Technical Reference Manuals](https://www.infineon.com/cms/en/search.html#!term=PSOC%206%20%20Technical%20Reference%20Manual&view=downloads) | |
* [PSoC 6 Programmable System-on-Chip datasheets](https://www.infineon.com/cms/en/search.html#!term=PSOC%206%20%20Datasheet&view=downloads) | |
* [Infineon Technologies AG](https://www.infineon.com) | |
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© Infineon Technologies AG, 2022. |