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Fully Convolutional Network Bootstrapped by Word Encoding and Embedding
  for Activity Recognition in Smart Homes

Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

Communications in Computer and Information Science (CCIS), 2020
1 December 2020
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
ArXiv (abs)PDFHTML

Papers citing "Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes"

13 / 13 papers shown
CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
Junhao Zhao
Zishuai Liu
Ruili Fang
Jin Lu
L. Zhang
Fei Dou
AI4TS
206
0
0
19 Oct 2025
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
Zikang Leng
Megha Thukral
Yaqi Liu
Hrudhai Rajasekhar
S. Hiremath
Jiaman He
Thomas Plötz
SyDa
499
3
0
13 Jun 2025
Generative Pretrained Embedding and Hierarchical Irregular Time Series
  Representation for Daily Living Activity Recognition
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity RecognitionEuropean Conference on Artificial Intelligence (ECAI), 2024
Damien Bouchabou
S. Nguyen
AI4TS
249
0
0
27 Dec 2024
Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity
  Recognition
Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity Recognition
Xi Chen
Julien Cumin
F. Ramparany
Dominique Vaufreydaz
211
8
0
25 Jun 2024
Maintenance Required: Updating and Extending Bootstrapped Human Activity
  Recognition Systems for Smart Homes
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
S. Hiremath
Thomas Ploetz
235
3
0
20 Jun 2024
Layout Agnostic Human Activity Recognition in Smart Homes through
  Textual Descriptions Of Sensor Triggers (TDOST)
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral
Sourish Gunesh Dhekane
S. Hiremath
H. Haresamudram
Thomas Ploetz
391
24
0
20 May 2024
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based
  Activity Recognition
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition
Seyed Mohammad Reza Modaresi
A. Osmani
Mohammadreza Razzazi
A. Chibani
239
0
0
17 Apr 2024
Generative Resident Separation and Multi-label Classification for
  Multi-person Activity Recognition
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
Xi Chen
Julien Cumin
F. Ramparany
Dominique Vaufreydaz
180
3
0
10 Apr 2024
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based
  Human Activity Recognition in Smart Homes
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes
P. Srivatsa
Thomas Plötz
GNN
180
3
0
16 Nov 2023
Too Good To Be True: performance overestimation in (re)current practices
  for Human Activity Recognition
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
Andres Tello
Victoria Degeler
Alexander Lazovik
175
3
0
18 Oct 2023
Human Activity Recognition (HAR) in Smart Homes
Human Activity Recognition (HAR) in Smart Homes
Damien Bouchabou
Christopher Lohr
Ioannis Kanellos
S. Nguyen
177
6
0
20 Dec 2021
Using Language Model to Bootstrap Human Activity Recognition Ambient
  Sensors Based in Smart Homes
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
139
37
0
23 Nov 2021
A Survey of Human Activity Recognition in Smart Homes Based on IoT
  Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep
  Learning
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
359
180
0
18 Oct 2021
1
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