An Adaptive IMU-Visual Multimodal Fusion System for Real-Time Exercise Recognition and Movement Quality Assessment.

Gu Z, Yang R, Shi Y, Dai D, Li C, Huang B, Jiao K, Tao Y, Wen Y, Zhong Y, He C

Open source

DOI
10.3390/s26185838
Published
2026 Sep 15
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26185838,
  title = {An Adaptive IMU-Visual Multimodal Fusion System for Real-Time Exercise Recognition and Movement Quality Assessment.},
  author = {Gu Z and Yang R and Shi Y and Dai D and Li C and Huang B and Jiao K and Tao Y and Wen Y and Zhong Y and He C},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26185838},
  url = {https://doi.org/10.3390/s26185838}
}

RIS

TY  - JOUR
TI  - An Adaptive IMU-Visual Multimodal Fusion System for Real-Time Exercise Recognition and Movement Quality Assessment.
AU  - Gu Z
AU  - Yang R
AU  - Shi Y
AU  - Dai D
AU  - Li C
AU  - Huang B
AU  - Jiao K
AU  - Tao Y
AU  - Wen Y
AU  - Zhong Y
AU  - He C
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26185838
UR  - https://doi.org/10.3390/s26185838
ER  -

APA

Z, G., R, Y., Y, S., D, D., C, L., B, H., K, J., Y, T., Y, W., Y, Z., & C, H. (2026). An Adaptive IMU-Visual Multimodal Fusion System for Real-Time Exercise Recognition and Movement Quality Assessment.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26185838

Source records