MicroBi-ConvLSTM is a convolutional-recurrent model with 11.4K parameters that delivers competitive accuracy on eight HAR benchmarks and full INT8 deployment coverage on Raspberry Pi Pico 2 and ESP32.
UniMiB SHAR: A dataset for human activity recognition using acceleration data from smartphones,
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MicroBi-ConvLSTM: An Ultra-Lightweight Efficient Model for Human Activity Recognition on Resource Constrained Devices
MicroBi-ConvLSTM is a convolutional-recurrent model with 11.4K parameters that delivers competitive accuracy on eight HAR benchmarks and full INT8 deployment coverage on Raspberry Pi Pico 2 and ESP32.