A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices

20 September 2019

Papers citing "A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices"

6 / 6 papers shown

Title
Non-stationary BERT: Exploring Augmented IMU Data For Robust Human Activity Recognition Ning Sun Yufei Wang Yuwei Zhang Jixiang Wan Shenyue Wang Ping Liu Xudong Zhang 114 0 0 25 Sep 2024
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge George Arvanitakis Jingwei Zuo Mthandazo Ndhlovu Hakim Hacid 57 1 0 22 Aug 2023
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks Francesco Daghero Luca Bompani Chen Xie Marco Castellano Luca Gandolfi A. Calimera Enrico Macii Massimo Poncino Daniele Jahier Pagliari BDL HAI 63 24 0 02 Sep 2022
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data Bolu Oluwalade Sunil Neela J. Gichoya Tobiloba Adejumo S. Purkayastha HAI 35 28 0 28 Feb 2021
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification Debesh Jha Anis Yazidi Michael A. Riegler Dag Johansen Haavard D. Johansen Pål Halvorsen 43 9 0 06 Jan 2021
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors Yin Tang Qi Teng Lefei Zhang Fuhong Min Jun He HAI 68 90 0 08 May 2020