Hand joints-based gesture recognition using a neural network provides excellent performance in hand gesture recognition. However, during the collection of sequential skeletal datasets, joints identification through hand pose estimations usually includes noise and even errors, which often diminish the accuracy of gesture recognition. To promote the availability of hand gesture recognition for such noisy datasets, this paper presents a nested interval unscented Kalman filter (UKF) with long short-term memory (NIUKF-LSTM) network to improve the accuracy of hand gesture recognition from noisy datasets. This nested interval method with the UKF changes the distribution of the sigma points based on two sampling intervals. By considering the information of previous frames, the nested interval method helps the NIUKF-LSTM network revise the noise in the sequential hand skeletal data and improve the recognition accuracy. The experimental results showing the removal of noisy skeletal data from the dynamic hand gesture dataset demonstrate the effectiveness of our NIUKF-LSTM network, which achieves better performance than do other state-of-the-art methods.
The Visual Computer – Springer Journals
Published: May 11, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera