2023
DOI: 10.1145/3578267
|View full text |Cite
|
Sign up to set email alerts
|

MultiSense: Cross-labelling and Learning Human Activities Using Multimodal Sensing Data

Abstract: To tap-in the gold-mine of data generated by IoT devices with unprecedented volume and value, there is an urgent need to efficiently and accurately label raw sensor data. To this end, we explore and leverage the hidden connections among the multimodal data collected by various sensing devices, and propose to let different modal data complement and learn from each other. But it is challenging to align and fuse multimodal data without knowing their perception (and thus the correct labels). In this work, we propo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 45 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?