NeuroPose: 3D hand pose tracking using EMG wearables

Yilin Liu, Shijia Zhang, Mahanth Gowda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


Ubiquitous finger motion tracking enables a number of exciting applications in augmented reality, sports analytics, rehabilitation-healthcare, haptics etc. This paper presents NeuroPose, a system that shows the feasibility of 3D finger motion tracking using a platform of wearable ElectroMyoGraphy (EMG) sensors. EMG sensors can sense electrical potential from muscles due to finger activation, thus offering rich information for fine-grained finger motion sensing. However converting the sensor information to 3D finger poses is non trivial since signals from multiple fingers superimpose at the sensor in complex patterns. Towards solving this problem, NeuroPose fuses information from anatomical constraints of finger motion with machine learning architectures on Recurrent Neural Networks (RNN), Encoder-Decoder Networks, and ResNets to extract 3D finger motion from noisy EMG data. The generated motion pattern is temporally smooth as well as anatomically consistent. Furthermore, a transfer learning algorithm is leveraged to adapt a pretrained model on one user to a new user with minimal training overhead. A systematic study with 12 users demonstrates a median error of 6.24° and a 90%-ile error of 18.33° in tracking 3D finger joint angles. The accuracy is robust to natural variation in sensor mounting positions as well as changes in wrist positions of the user. NeuroPose is implemented on a smartphone with a processing latency of 0.101s, and a low energy overhead.

Original languageEnglish (US)
Title of host publicationThe Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021
PublisherAssociation for Computing Machinery, Inc
Number of pages12
ISBN (Electronic)9781450383127
StatePublished - Apr 19 2021
Event2021 World Wide Web Conference, WWW 2021 - Ljubljana, Slovenia
Duration: Apr 19 2021Apr 23 2021

Publication series

NameThe Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021


Conference2021 World Wide Web Conference, WWW 2021

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software


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