Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera

By Chong Wang, Zhong Liu, Shing-Chow Chan. IEEE transactions on multimedia, 2015

313 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/141884669371b0535f7a79623ffa54480ad05bb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Runpeng Cui
2. Hu Liu
3. Changshui Zhang
4. Richang Hong
5. Yonggang Wen
6. Dapeng Tao
7. Jin Zhang
8. Hongyi Liu

In Human-Computer Interaction

1. Changshui Zhang
2. Hu Liu
3. Runpeng Cui
4. Chengkuo Lee
5. Yonggang Wen
6. Dapeng Tao
7. Jin Zhang
8. Kai Liu

Citations in the corpus

• A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training (2019, background): “2889563 Typical SL learning problems involve isolated gesture classification [3], [5]–[7], sign spotting [8]–[10], and continuous SL recognition [11]–[13].”
• Multicolumn Bidirectional Long Short-Term Memory for Mobile Devices-Based Human Activity Recognition (2016, background): “As a result, mobile device-based human activity recognition systems (MARSs) have received increasing attention over recent years in the field of Internet of Things, including social life networks [18], [19], [44], wearables [6], [8], [37], [45], health care [1], [22], [32], and so on [23], [25],…”
• Gesture recognition for human-robot collaboration: A review (2017, background): “Due to resolution restriction, currently, depth sensors are especially popular in body gesture recognition and close-distance hand and arm gesture recognition (Kapu (cid:1) sci (cid:1) nski et al., 2014; Wang et al., 2015; Kurakin et al., 2012; Shotton et al., 2013).”
• Learning hierarchical spatio-temporal pattern for human activity prediction (2016, methodology): “[17] presents a new superpixel-based hand gesture recognition system based on a novel superpixel earth mover’s distance metric, together with Kinect depth camera.”
• AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove (2021, background): “Generally, visual images/videos, surface electromyography (sEMG) electrodes, and inertial sensors are conventional means to reconstruct hand gesture information towards sign language recognition applications 54 – 57 .”