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IoT-based Remote Facial Expression Monitoring System with sEMG Signal

Mingzhe Jiang Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir-Mohammad Rahmani, Tomi Westerlund, Sanna Salanterä, Pasi Liljeberg, Hannu Tenhunen, IoT-based Remote Facial Expression Monitoring System with sEMG Signal. In: Baglio Salvatore, Gupta Gourab Sen (Eds.), Sensors Applications Symposium (SAS), 2016 IEEE, 1–6, Baglio, Salvatore Gourab Sen, Gupta, 2016.

http://dx.doi.org/10.1109/SAS.2016.7479847

Abstract:

Biopotentials including Electrocardiography (ECG), Electromyography (EMG) and Electroencephalography (EEG) measure the activity of heart, muscles and brain, respectively. They can be used for noninvasive diagnostic applications, assistance in rehabilitation medicine and human-computer interaction. The concept of Internet of Things (IoT) can bring added value to applications with biopotential signals in healthcare and human-computer interaction by integrating multiple technologies such as sensors, wireless communication and data science. In this work, we present a wireless biopotentials remote monitoring and processing system. A prototype with the case study of facial expression recognition using four channel facial sEMG signals is implemented. A multivariate Gaussian classifier is trained off-line from one person's surface EMG (sEMG) signals with four facial expressions: neutral, smile, frown and wrinkle nose. The presented IoT application system is implemented on the basis of an eight channel biopotential measurement device, Wi-Fi module as well as signal processing and classification provided as a Cloud service. In the system, the real-time sEMG data stream is filtered, feature extracted and classified within each data segment and the processed data is visualized in a browser remotely together with the classification result.

BibTeX entry:

@INPROCEEDINGS{inpJiNgAnRaWeSaLiTe16a,
  title = {IoT-based Remote Facial Expression Monitoring System with sEMG Signal},
  booktitle = {Sensors Applications Symposium (SAS), 2016 IEEE},
  author = {Jiang, Mingzhe Jiang and Nguyen Gia, Tuan and Anzanpour, Arman and Rahmani, Amir-Mohammad and Westerlund, Tomi and Salanterä, Sanna and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Salvatore, Baglio and Gourab Sen, Gupta},
  publisher = {Baglio, Salvatore  Gourab Sen,  Gupta},
  pages = {1–6},
  year = {2016},
  keywords = {Biopotentials, sEMG, Healthcare Internet of Things, Remote Patient Monitoring, Facial Expression Recognition.},
  ISSN = {978-1-4799-7250-0},
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

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