Toward fast 3D human activity recognition: A refined feature based on minimum joint freedom model (Mint)
Human activity recognition (HAR) is crucial for human-centric smart manufacturing,
especially the management of human involved production activities. Recently, 3D HAR
based on skeleton data has emerged as an outstanding approach for good performance on
both speed and accuracy. However, there are still flaws like insufficiency or redundancy in
design of features. To address this gap, a refined skeleton-based feature for fast and
accurate 3D HAR is proposed in this work, Specifically, a minimum and lossless skeleton …
especially the management of human involved production activities. Recently, 3D HAR
based on skeleton data has emerged as an outstanding approach for good performance on
both speed and accuracy. However, there are still flaws like insufficiency or redundancy in
design of features. To address this gap, a refined skeleton-based feature for fast and
accurate 3D HAR is proposed in this work, Specifically, a minimum and lossless skeleton …