GESTURE RECOGNITION CHALLENGES
One of the key challenges in gesture recognition is that the image processing can be significantly slow creating unacceptable latency for video games and other similar applications.
2. Lack of Gesture Language
Since common gesture language is not there, different users make gestures differently. If users make gestures as they seem fit, gesture recognition systems would certainly have difficulty in identifying motions with the probabilistic methods currently in use.
Many gesture recognition systems do not read motions accurately or optimally due to factors like insufficient background light, high background noise etc.
Image processing involved in gesture recognition is quite resource intensive and the applications may found difficult to run on resource constrained devices like PDA.
The rate of user acceptability of gesture recognition systems will be driven by how fast and wide spread gesture recognition becomes established and accepted in our everyday lives including other environments in which human interaction with machines takes place. These include interactions in the office, home, banking, gaming and other leisure activities.
During the next few years, Gesture recognition is most likely to be used primarily in niche applications because making mainstream applications work with the gesture recognition technology will take considerable effort than it’s worth.
For more exciting information and ongoing research on gesture recognition, check out our article on Sixth Sense Technology.