A Convolutional Transformer for Enhanced NILM in Human Activity Recognition
Author:
Affiliation:
1. University of L'Aquila,Dept. of Industrial and Information Engineering and Economics,L'Aquila,Italy
2. University of Alcalá,Electronics Department,Alcalá de Henares,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10596554/10596704/10596791.pdf?arnumber=10596791
Reference23 articles.
1. Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities
2. A wearable human activity recognition system on a chip
3. Identifying and Monitoring the Daily Routine of Seniors Living at Home
4. Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical Sensing
5. A Review of Non-Intrusive Load Monitoring Applications in Industrial and Residential Contexts
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