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Transforming Sensor Data to the Image Domain for Deep Learning - an
  Application to Footstep Detection

Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection

4 January 2017
Monit Shah Singh
Vinaychandran Pondenkandath
Bo Zhou
P. Lukowicz
Marcus Liwicki
ArXivPDFHTML

Papers citing "Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection"

5 / 5 papers shown
Title
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
27
3
0
07 Jul 2024
TASKED: Transformer-based Adversarial learning for human activity
  recognition using wearable sensors via Self-KnowledgE Distillation
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Sungho Suh
Vitor Fortes Rey
P. Lukowicz
16
55
0
14 Sep 2022
Adversarial Deep Feature Extraction Network for User Independent Human
  Activity Recognition
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
Sungho Suh
Vitor Fortes Rey
P. Lukowicz
AAML
37
10
0
23 Oct 2021
Understanding and Improving Deep Neural Network for Activity Recognition
Understanding and Improving Deep Neural Network for Activity Recognition
Li Xue
Xiandong Si
Lanshun Nie
Jiazhen Li
Renjie Ding
Dechen Zhan
Dianhui Chu
HAI
8
19
0
18 May 2018
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention
  Model for Activity Recognition
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition
Kaixuan Chen
Lina Yao
Tao Gu
Zhiwen Yu
Xianzhi Wang
Dalin Zhang
30
3
0
21 Nov 2017
1