Classifying hand or body gestures from IMU (accelerometer + gyroscope) data. Models process short windows of motion data to recognize predefined gestures. Used for touchless control, wearable interfaces, and accessibility devices. Requires 6-axis or 9-axis inertial measurement unit.
| Minimum RAM | 64 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | imu |
| Typical Model Size | 20 KB (quantized int8) |
ESP32
Espressif
520 KB RAM · 240 MHz
$5–$15 (dev board)
ESP32-C3
Espressif
400 KB RAM · 160 MHz
$4–$10 (dev board)
ESP32-C6
Espressif
512 KB RAM · 160 MHz
$5–$15 (dev board)
ESP32-S3
Espressif
512 KB RAM · 240 MHz
$10–$25 (dev board)
i.MX RT1062
NXP
1024 KB RAM · 600 MHz
$25–$40 (dev board)
nRF52833
Nordic Semiconductor
128 KB RAM · 64 MHz
$10–$25 (dev board)
nRF52840
Nordic Semiconductor
256 KB RAM · 64 MHz
$20–$35 (dev board)
RA6M5
Renesas
512 KB RAM · 200 MHz
$25–$50 (dev board)
STM32F4
STMicroelectronics
192 KB RAM · 168 MHz
$10–$30 (dev board)
STM32F7
STMicroelectronics
512 KB RAM · 216 MHz
$25–$60 (dev board)
STM32H7
STMicroelectronics
1024 KB RAM · 480 MHz
$30–$80 (dev board)
STM32L4
STMicroelectronics
128 KB RAM · 80 MHz
$15–$50 (dev board)
STM32U5
STMicroelectronics
786 KB RAM · 160 MHz
$20–$50 (dev board)
Good
The Arduino Nano 33 BLE is a beginner-friendly option for gesture recognition with TFLite Micro. Its built-in 9-axis IMU (LSM9DS1) eliminate…
Good
The ESP32-C3 runs gesture recognition models from Edge Impulse with low inference latency. Its 400 KB SRAM handles IMU classifiers with 5-10…
Excellent
The ESP32-C3 is an excellent match for gesture recognition with TFLite Micro. 400 KB SRAM delivers 6.3x the 64 KB minimum while 160 MHz proc…
Excellent
Espressif's ESP32-C6 excels at gesture recognition via Edge Impulse. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 20 KB quantized m…
Excellent
For gesture recognition, the ESP32-C6 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 160 MHz clo…
Excellent
The ESP32 is an excellent match for gesture recognition with Edge Impulse. 520 KB SRAM delivers 8.1x the 64 KB minimum while 240 MHz process…
Excellent
For gesture recognition, the ESP32 with TFLite Micro scores Excellent. Its 520 KB internal SRAM (8.1x the required 64 KB) and 240 MHz clock …
Excellent
Edge Impulse enables gesture recognition on the ESP32-S3 by training a classifier on IMU accelerometer and gyroscope data. Connect a 6-axis …
Excellent
Espressif's ESP32-S3 excels at gesture recognition via TFLite Micro. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 20 KB quantiz…
Excellent
NXP's i.MX RT1062 excels at gesture recognition via CMSIS-NN. The 1-core cortex-m7 at 600 MHz with 1024 KB SRAM handles 20 KB quantized mode…
Excellent
For gesture recognition, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600 MH…
Good
The nRF52833 handles gesture recognition effectively with Edge Impulse. 128 KB SRAM at 64 MHz provides 2.0x headroom over the 64 KB requirem…
Good
The nRF52833 handles gesture recognition effectively with TFLite Micro. 128 KB SRAM at 64 MHz provides 2.0x headroom over the 64 KB requirem…
Excellent
Nordic Semiconductor's nRF52840 excels at gesture recognition via Edge Impulse. The 1-core cortex-m4f at 64 MHz with 256 KB SRAM handles 20 …
Good
Running gesture recognition on the nRF52840 with TFLite Micro is practical. 256 KB SRAM meets the 64 KB minimum with 4.0x headroom. The 64 M…
Excellent
For gesture recognition, the RA6M5 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clock ensu…
Excellent
Renesas's RA6M5 excels at gesture recognition via TFLite Micro. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 20 KB quantized mo…
Good
The STM32F4 classifies IMU gestures with Edge Impulse's optimized inference pipeline. The Cortex-M4F's DSP instructions handle spectral feat…
Good
Running gesture recognition on the STM32F4 with TFLite Micro is practical. 192 KB SRAM meets the 64 KB minimum with 3.0x headroom. The 168 M…
Excellent
For gesture recognition, the STM32F7 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 216 MHz clock en…
Excellent
For gesture recognition, the STM32F7 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 216 MHz cloc…
Excellent
The STM32H7 is an excellent match for gesture recognition with CMSIS-NN. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 480 MHz process…
Excellent
For gesture recognition, the STM32H7 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 480 MHz cl…
Good
STMicroelectronics's STM32L4 is a solid choice for gesture recognition using Edge Impulse. The cortex-m4f core at 80 MHz with 128 KB SRAM ac…
Good
Running gesture recognition on the STM32L4 with TFLite Micro is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 80 MH…
Excellent
The STM32U5 is an excellent match for gesture recognition with CMSIS-NN. 786 KB SRAM delivers 12.3x the 64 KB minimum while 160 MHz processe…
Excellent
The STM32U5 is an excellent match for gesture recognition with TFLite Micro. 786 KB SRAM delivers 12.3x the 64 KB minimum while 160 MHz proc…
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