C-MHAD: Continuous Multimodal Human Action Dataset of Simultaneous Video and Inertial Sensing
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 continuousl...
Main Authors: | Haoran Wei, Pranav Chopada, Nasser Kehtarnavaz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/10/2905 |
Similar Items
-
Fusion of Video and Inertial Sensing for Deep Learning–Based Human Action Recognition
by: Haoran Wei, et al.
Published: (2019-08-01) -
Real-Time Continuous Detection and Recognition of Subject-Specific Smart TV Gestures via Fusion of Depth and Inertial Sensing
by: Neha Dawar, et al.
Published: (2018-01-01) -
An Improved Attention-Based Spatiotemporal-Stream Model for Action Recognition in Videos
by: Dan Liu, et al.
Published: (2020-01-01) -
Im2Vid: Future Video Prediction for Static Image Action Recognition
by: AlBahar, Badour A Sh A.
Published: (2018) -
TUHAD: Taekwondo Unit Technique Human Action Dataset with Key Frame-Based CNN Action Recognition
by: Jinkue Lee, et al.
Published: (2020-08-01)