Accelerometer-based gesture control for a design environment
By Juha Kela, Panu Korpipää, Jani Mäntyjärvi, S. Kallio, Giuseppe Savino, Luca Jozzo, S. D. Marca. Personal and Ubiquitous Computing, 2006
332 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/4ff6ed642f188eaafbed79957aadba37d4f21c2a
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
- Niels Henze
- Jiayang Liu
- Lin Zhong
- Jehan Wickramasuriya
- V. Vasudevan
- Jesus Suarez
- Robin Roberson Murphy
In Human-Computer Interaction
- Mohan Manubhai Trivedi
- Derick A. Johnson
- Niels Henze
- Jiayang Liu
- Ronald Poelman
- Lin Zhong
- D. V. Krevelen
- Jehan Wickramasuriya
Citations in the corpus
- Gesture recognition with a Wii controller (2008, methodology): “We transfer the methods proposed in [6, 7] who are using special hardware for 2D gesture recognition to the consumer hardware of the Wiimote and recognize 3D hand gestures.”
- BLSTM-RNN Based 3D Gesture Classification (2013, neutral): “The first strategy has been deeply studied in the last decade with two main approaches: discrete versus continuous HMM [6–8 , 11 ].”
- Vision-based hand-gesture applications (2011, background): “Two exceptions are by Nielsen 34 and by Kela et al. 23 focusing on acceleration-based gestures.”
- uWave: Accelerometer-based personalized gesture recognition and its applications (2009, methodology): “It is worth noting that the accelerometer in Wii remote provides comparable accuracy but larger acceleration range (-3g to 3g) than that used in [4] (-2g to 2g).”
- A Survey of Augmented Reality Technologies, Applications and Limitations (2010, methodology): “Kaufmann [85], Kaufmann et al. [86] introduce the Con-struct3D tool for math and geometry education, based on the StudierStube framework (Fig.”
- Driving style recognition using a smartphone as a sensor platform (2011, methodology): “With the mounting arm, we have kept the device rotated on its side and flush with the vehicle dashboard to prevent it from moving, and to ensuring the camera is unobstructed.”
- A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors (2011, background): “These two steps normalize the variations in the gesture scale and speed and thus improve the recognition of the type of the gesture [2], [17].”
- Generalizing DTW to the multi-dimensional case requires an adaptive approach (2016, neutral): “While there are hundreds of research efforts that use DTW in a multi-dimensional setting (Ridgely and Tudor 2009; Kela et al. 2006; Ko et al. 2005; Liu et al. 2009; Petitjean et al. 2012; Wang et al. 2013), we are not aware of any work that discusses the relative merits of DTWI and DTWD, or even exp”