Muscle Sensor Model Using Small Scale Optical Device for Pattern Recognitions

Tamee, Kreangsak; Chaiwong, K.; Yothapakdee, Kriengsak; Yupapin, P.P.

doi:10.1155/2013/346047

Cited by 4 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“… Zhao et al (2021) used two PPG sensors combined with a series of algorithms to remove pulsation and body movement interference and achieved an average accuracy of 88.32% for nine postures. In addition, researchers proposed a sensor that measures facial muscle deformation by measuring changes in the light path ( Tamee et al, 2013 ). In this research, three sensors are combined and attached to the subject’s forehead for muscle diagnosis or control auxiliary equipment, but the system lacks relevant experiments to prove its feasibility.…”

Section: Biochemical Sensing Interfacesmentioning

confidence: 99%

Wearable super-resolution muscle–machine interfacing

et al. 2022

View full text Add to dashboard Cite

Muscles are the actuators of all human actions, from daily work and life to communication and expression of emotions. Myography records the signals from muscle activities as an interface between machine hardware and human wetware, granting direct and natural control of our electronic peripherals. Regardless of the significant progression as of late, the conventional myographic sensors are still incapable of achieving the desired high-resolution and non-invasive recording. This paper presents a critical review of state-of-the-art wearable sensing technologies that measure deeper muscle activity with high spatial resolution, so-called super-resolution. This paper classifies these myographic sensors according to the different signal types (i.e., biomechanical, biochemical, and bioelectrical) they record during measuring muscle activity. By describing the characteristics and current developments with advantages and limitations of each myographic sensor, their capabilities are investigated as a super-resolution myography technique, including: (i) non-invasive and high-density designs of the sensing units and their vulnerability to interferences, (ii) limit-of-detection to register the activity of deep muscles. Finally, this paper concludes with new opportunities in this fast-growing super-resolution myography field and proposes promising future research directions. These advances will enable next-generation muscle-machine interfaces to meet the practical design needs in real-life for healthcare technologies, assistive/rehabilitation robotics, and human augmentation with extended reality.

show abstract

Section: Biochemical Sensing Interfacesmentioning

confidence: 99%

Wearable super-resolution muscle–machine interfacing

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Assim como em outros sensores de deformação, o ring resonator se baseia também no efeito óptico de tensão (strain-optical effect) que consiste na variação do índice de refração induzido por qualquer deformação aplicada à fibra óptica (TAMEE et al, 2013).…”

Section: Mecanismos Utilizados Para Detecção Das Atividades Muscularesunclassified

Procedimentos adotados na coleta de sinais mioelétricos para construção de próteses da mão

Peixoto¹,

Peixoto²,

Montteiro³

et al. 2021

Minicursos Do XIV Encontro Unificado De Computação Do Piauí (ENUCOMPI) E XI Simpósio De Sistemas De Informação (SINFO)

View full text Add to dashboard Cite

“…Recently, Yupapin and Sarapat have shown the advanced optical sensing system that uses the whispering gallery modes (WGMs) of light within a micro-scale modified add-drop filter circuit for various sensing applications [26]. In our previous research [27][28] we developed a conceptual framework and device model of a muscle measurement system using optical devices which measure muscle contractions. As well, the results from our previous research can be used for pattern recognition.…”

Section: Introductionmentioning

confidence: 99%

Facial Gesture Measurement Using Optical Muscle Sensing System

Yothapakdee¹,

Yupapin²,

Tamee³

2016

Nano BioMed ENG

Self Cite

View full text Add to dashboard Cite

A PANDA ring resonator circuit has been applied to the measurement of muscle actions, measuring signals created by facial muscle contractions. A system, which is called the Optical Muscle Sensing System, was developed which uses sensors to measure the mechanism of facial muscle contractions and the strength of contraction and degrees of perturbation of the facial muscles that are used directly for each facial gesture. The signal data was obtained from the simulation of the facial gestures and this data was applied in the classification of the facial gesture signals of each particular gesture. Facial gestures include blinking, smiling, grimacing and various other contortions of the face which may imply emotions and are part of normal human communication. Understanding of these mechanisms will be useful and applicable to facial rehabilitation services.

show abstract

Muscle Sensor Model Using Small Scale Optical Device for Pattern Recognitions

Cited by 4 publications

References 26 publications

Wearable super-resolution muscle–machine interfacing

Wearable super-resolution muscle–machine interfacing

Procedimentos adotados na coleta de sinais mioelétricos para construção de próteses da mão

Facial Gesture Measurement Using Optical Muscle Sensing System

Contact Info

Product

Resources

About