Sensing Movement: Microsensors for Body Motion Measurement

Zeng, Hansong; Zhao, Yunhui

doi:10.3390/s110100638

Cited by 99 publications

(61 citation statements)

References 86 publications

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“…These techniques are based on the measurement of muscle activity (EMG) [9], joint angles by using encoders or goniometers [10][11], but also accelerometers and gyroscopes [12] or the fusion of them both [13].…”

Section: Reviewmentioning

confidence: 99%

Gait Phase Recognition for Exoskeleton Control Using Adaptive Neuro Fuzzy Inference System

Broniszewski¹,

Dabros²,

Iwaniec³

et al. 2017

DAAAM Proceedings

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Pressure measurement at the foot-ground contact zone provides necessary information for detecting the phases of the human gait. The human gait is a complicated process and, therefore, it is not possible to distinguish its stages simply by comparing the foot-ground surface pressure to threshold values. In this paper we propose a new method for human gait phases recognition using an adaptive network-based fuzzy inference system which processes data measured by pressure sensors located underneath footbed inserts. This method is intended to bring some additional information to the lower limb exoskeleton control system as well as for gait diagnostic purposes. The device uses only three pressure sensors for each foot. In order to verify the results of the study, measurements with sensors placed under the footbed inserts has been performed and the pressure at the foot-ground contact points during the walk has been investigated. Twelve models of gait phase classifiers were created. The performance of each classifier has been tested for a previously unknown pressure pattern that corresponds to the natural gait. Based on the quality of gait matching the test run, the best model of the classifier was selected.

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Section: Reviewmentioning

confidence: 99%

Gait Phase Recognition for Exoskeleton Control Using Adaptive Neuro Fuzzy Inference System

Broniszewski¹,

Dabros²,

Iwaniec³

et al. 2017

DAAAM Proceedings

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“…18 The other requirement is high flexibility to sustain human touch or shaking. 8 Because conventional MEMS devices are fabricated on a silicon wafer that is less than 30 cm wide, [15][16][17] micro-processing of fibers. The resultant fibers are subsequently woven into sheets.…”

Section: Novel Mems Devices Based On Conductive Polymers By Seiichi Tmentioning

confidence: 99%

Novel MEMS Devices Based on Conductive Polymers

Takamatsu

Itoh²

2012

Interface magazine

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Two methods to fabricate large area flexible conductive polymers with applications in sensor technology for human information input and output are discussed. In the first method, parylene peel-off is discussed and devices fabricated by this process such as microfabricated touch sensors, electrochromic pixel displays and biosensors are demonstrated. For example, a PEDOT:PSS-based strain-sensor array used as a transparent touch screen sustained bending for 1000 repetitions with a bending radius of 5mm, proving it to be useful for flexible displays. Moreover its optical, mechanical and electrical properties were compared with an ITO film. Similarly, the sensitivity of an electrochemical glucose sensor proved to be 100 times better than that of a conventional sensor. In the second method, a novel manufacturing process to fabricate meter scale MEMS device is discussed, which involves continuous reel-to-reel die coating on fiber substrates which are then woven with an automatic weaving machine into the fabric. The die is composed of a PEDOT:PSS and UV- adhesive.

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“…Physiological monitoring using wearable sensors modernized the way of monitoring human activities and health [1,2]. Generally, camera based motion capture system is used in healthcare industry for motion sensing [2], which requires large logistics and is expensive.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, camera based motion capture system is used in healthcare industry for motion sensing [2], which requires large logistics and is expensive. In addition, the challenges remain to power these sensors to improve the life cycle and to make them more cost effective.…”

Section: Introductionmentioning

confidence: 99%

Soft Triboelectric Band for Sensing of and Energy Scavenging From Body Motion

Haque

Farine

Briand

2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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Abstract:We manifest a new method of developing wearable triboelectric band for self-powerd gesture sensing and power generating. Film casting technique, that is easily scalable, was used to patterned soft stretchable elastomers and conductive carbon based composites. The developed triboelectric band showed the capabilities of detecting locomotion of elbow and knee movement and provides electrical signal in response. The rms voltage, current and power of 2.9 V, 0.3 μA and 1.6 μW for elbow stretching, and 1.1 V, 0.11 μA and 0.22 μW for knee stretching was obtained for the optimum load of 10.1 MΩ at operational frequency of 1 ± 0.1 Hz.

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Sensing Movement: Microsensors for Body Motion Measurement

Cited by 99 publications

References 86 publications

Gait Phase Recognition for Exoskeleton Control Using Adaptive Neuro Fuzzy Inference System

Gait Phase Recognition for Exoskeleton Control Using Adaptive Neuro Fuzzy Inference System

Novel MEMS Devices Based on Conductive Polymers

Soft Triboelectric Band for Sensing of and Energy Scavenging From Body Motion

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