An ultraflexible polyurethane yarn-based wearable strain sensor with a polydimethylsiloxane infiltrated multilayer sheath for smart textiles

Nanoscale ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 4110-4118 ◽  
Author(s):  
Xiaoting Li ◽  
Keng Huat Koh ◽  
Musthafa Farhan ◽  
King Wai Chiu Lai
Keyword(s):  
Full Range ◽  
Strain Sensor ◽  
Superior Performance ◽  
Smart Textiles ◽  
Human Motions

This paper proposes an ultraflexible polyurethane yarn-based strain sensor. It demonstrates superior performance and enormous potential in monitoring full-range human motions and manipulate a hand robot to move, catch, and grasp some objects.

Fibrous strain sensor with ultra-sensitivity, wide sensing range, and large linearity for full-range detection of human motion

Nanoscale ◽  
2018 ◽  
Vol 10 (37) ◽  
pp. 17512-17519 ◽  
Author(s):  
Hanguang Wu ◽  
Qiang Liu ◽  
Hongwu Chen ◽  
Gaoquan Shi ◽  
Chun Li
Keyword(s):  
Full Range ◽  
Strain Sensor ◽  
Human Motion ◽  
Good Linearity ◽  
Sensing Range ◽  
Comprehensive Properties ◽  
Human Motions ◽  
Excellent Stability

The FPC strain sensor exhibits superior comprehensive properties integrating extraordinary sensitivity, wide sensing range, low hysteresis, good linearity, and excellent stability. It can detect full-range human motions.

Carbonized silk georgette as an ultrasensitive wearable strain sensor for full-range human activity monitoring

2017 ◽  
Vol 5 (30) ◽  
pp. 7604-7611 ◽  
Author(s):  
Chunya Wang ◽  
Kailun Xia ◽  
Muqiang Jian ◽  
Huimin Wang ◽  
Mingchao Zhang ◽  
...  
Keyword(s):  
Human Activity ◽  
Full Range ◽  
Strain Sensor ◽  
Activity Monitoring ◽  
Strain Sensors ◽  
Human Motions

Silk georgette based wearable strain sensors are developed, which exhibit outstanding performance and great potential in monitoring full-range human motions.

High performance strain sensor based on buckypaper for full-range detection of human motions

Nanoscale ◽  
2018 ◽  
Vol 10 (31) ◽  
pp. 14966-14975 ◽  
Author(s):  
Chengwei Li ◽  
Dongmei Zhang ◽  
Chenghao Deng ◽  
Peng Wang ◽  
Yunping Hu ◽  
...  
Keyword(s):  
High Performance ◽  
Full Range ◽  
Strain Sensor ◽  
Human Motions

A high-performance strain sensor based on buckypaper has been fabricated and studied.

Superhydrophobic gradient wrinkle strain sensor with ultra-high sensitivity and broad strain range for motion monitoring

2021 ◽  
Vol 9 (15) ◽  
pp. 9634-9643
Author(s):  
Zhenming Chu ◽  
Weicheng Jiao ◽  
Yifan Huang ◽  
Yongting Zheng ◽  
Rongguo Wang ◽  
...  
Keyword(s):  
Human Body ◽  
Full Range ◽  
Strain Sensor ◽  
Strain Range ◽  
High Sensitivity

A graphene-based gradient wrinkle strain sensor with a broad range and ultra-high sensitivity was fabricated by a simple pre-stretching method. It can be applied to the detection of full-range human body motions.

Fall Detection via Inaudible Acoustic Sensing

2021 ◽  
Vol 5 (3) ◽  
pp. 1-21
Author(s):  
Jie Lian ◽  
Xu Yuan ◽  
Ming Li ◽  
Nian-Feng Tzeng
Keyword(s):  
Continuous Wave ◽  
Detection System ◽  
Fall Detection ◽  
Superior Performance ◽  
Medical Assistance ◽  
Acoustic Sensing ◽  
Value Decomposition ◽  
Human Motions ◽  
Audio Device ◽  
Fall Accidents

The fall detection system is of critical importance in protecting elders through promptly discovering fall accidents to provide immediate medical assistance, potentially saving elders' lives. This paper aims to develop a novel and lightweight fall detection system by relying solely on a home audio device via inaudible acoustic sensing, to recognize fall occurrences for wide home deployment. In particular, we program the audio device to let its speaker emit 20kHz continuous wave, while utilizing a microphone to record reflected signals for capturing the Doppler shift caused by the fall. Considering interferences from different factors, we first develop a set of solutions for their removal to get clean spectrograms and then apply the power burst curve to locate the time points at which human motions happen. A set of effective features is then extracted from the spectrograms for representing the fall patterns, distinguishable from normal activities. We further apply the Singular Value Decomposition (SVD) and K-mean algorithms to reduce the data feature dimensions and to cluster the data, respectively, before input them to a Hidden Markov Model for training and classification. In the end, our system is implemented and deployed in various environments for evaluation. The experimental results demonstrate that our system can achieve superior performance for detecting fall accidents and is robust to environment changes, i.e., transferable to other environments after training in one environment.

A Packaged and Reusable Hydrogel Strain Sensor with Conformal Adhesion to Skin for Human Motions Monitoring

2021 ◽  
pp. 2101786
Author(s):  
Meijin Zhao ◽  
Wenshuai Zhang ◽  
Dan Wang ◽  
Peipei Sun ◽  
Yuanyuan Tao ◽  
...  
Keyword(s):  
Strain Sensor ◽  
Human Motions

Dual‐Mode Wearable Strain Sensor Based on Graphene/Colloidal Crystal Films for Simultaneously Detection of Subtle and Large Human Motions

2020 ◽  
Vol 5 (2) ◽  
pp. 1901056 ◽  
Author(s):  
Hua Xu ◽  
Ming Kun Zhang ◽  
Yi Fei Lu ◽  
Jia Jia Li ◽  
Si Jia Ge ◽  
...  
Keyword(s):  
Colloidal Crystal ◽  
Strain Sensor ◽  
Dual Mode ◽  
Crystal Films ◽  
Human Motions
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