Gesture-based Object Recognition using Histograms of Guiding Strokes
By Amir Sadeghipour, Louis-philippe Morency, Stefan Kopp. 2012
21 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Developmental and Educational Psychology
In Human-Computer Interaction
- Sergio Escalera
- Isabelle M Guyon
- Hao Zhang
- Fei Han
- William A. Hoff
- Brian Reily
- Denis Lalanne
- Vassilis Athitsos
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, methodology): “Many other datasets captured using a Kinect v1 camera were also released to the public, including the MSR Daily Activity 3D [121], MSR Action Pairs [113], Online RGBD Action (ORGBD) [107], UTKinect-Action [124], Florence 3D-Action [118], CMU-MAD [104], UTD-MHAD [103], G3D/G3Di [105], [119], SPHERE [”
- A Survey of Datasets for Human Gesture Recognition (2014, background): “3DIG [25] ‘13 1 Environment 2 Iconic Recognition of iconic gestures where subjects were free to perform their own gesture to depict each object P”
- Human-Computer Interaction. Advanced Interaction Modalities and Techniques (2014, methodology): “For example, while some studies have indicated that passive viewing of tools is sufficient to evoke a range of specific cortical activation associated with motor processes [17 and 18], others reported that brain regions specific to tools was evoked only when participants engaged in naming or object ”
- Challenges in multimodal gesture recognition (2016, background): “The CDG2013 dataset introduces audio data to the mix of color and depth that is available in some other data sets, such as (Sadeghipour et al., 2012; Bloom et al., 2012).”