ArticleSensors (Basel, Switzerland)2020
C-MHAD: Continuous Multimodal Human Action Dataset of Simultaneous Video and Inertial Sensing.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 36 citations in OpenAlex.
- Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification.Sensors (Basel, Switzerland) · 2023Article
- A multimedia art interaction model for motion recognition based on data-driven model.PeerJ. Computer science · 2023Article
- Malicious Network Behavior Detection Using Fusion of Packet Captures Files and Business Feature Data.Sensors (Basel, Switzerland) · 2021Article
- Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors.Sensors (Basel, Switzerland) · 2021Article
- TUHAD: Taekwondo Unit Technique Human Action Dataset with Key Frame-Based CNN Action Recognition.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing public domain multi-modal datasets for human action recognition only include actions of interest that have already been segmented from action streams. These datasets cannot be used to study a more realistic action recognition scenario where actions of interest occur randomly and continuously among actions of non-interest or no actions. It is more challenging to recognize actions of interest in continuous action streams since the starts and ends of these actions are not known and need to be determined in an on-the-fly manner. Furthermore, there exists no public domain multi-modal dataset in which video and inertial data are captured simultaneously for continuous action streams. The main objective of this paper is to describe a dataset that is collected and made publicly available, named Continuous Multimodal Human Action Dataset (C-MHAD), in which video and inertial data stream are captured simultaneously in a continuous way. This dataset is then used in an example recognition technique and the results obtained indicate that the fusion of these two sensing modalities increases the F1 scores compared to using each sensing modality individually.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.