Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

22 August 2017

Papers citing "Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors"

9 / 9 papers shown

Title
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition Bulat Khaertdinov S. Asteriadis 29 3 0 14 Apr 2023
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C. Hazirbas Yejin Bang Tiezheng Yu Parisa Assar Bilal Porgali ... Jacqueline Pan Emily McReynolds Miranda Bogen Pascale Fung Cristian Canton Ferrer 32 8 0 10 Nov 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 93 10 0 23 Oct 2022
A Close Look into Human Activity Recognition Models using Deep Learning Wei Zhong Tee Rushit Dave Naeem Seliya Mounika Vanamala HAI 32 19 0 26 Apr 2022
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 295 0 31 Oct 2021
Real-Time Violence Detection Using CNN-LSTM Mann Patel 13 20 0 15 Jul 2021
Octave Mix: Data augmentation using frequency decomposition for activity recognition Tatsuhito Hasegawa 33 3 0 08 Jan 2021
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems Marcus Venzke Daniel Klisch P. Kubik Asad Ali Jesper Dell Missier V. Turau 22 11 0 15 Dec 2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 22 233 0 19 Apr 2020