Superelastic, Fatigue-Resistant, and Flame-Retardant Spongy Conductor for Human Motion Detection against a Harsh High-Temperature Condition

2021 ◽  
Vol 13 (6) ◽  
pp. 7580-7591 ◽  
Author(s):  
Zhichong Liu ◽  
Kening Wan ◽  
Tianyi Zhu ◽  
Jixin Zhu ◽  
Jingsan Xu ◽  
...  
Keyword(s):  
High Temperature ◽  
Flame Retardant ◽  
Motion Detection ◽  
Human Motion ◽  
Human Motion Detection ◽  
High Temperature Condition

Facile fabrication of superhydrophobic, flame-retardant and conductive cotton fabric for human motion detection

Cellulose ◽  
2021 ◽  
Author(s):  
Shan Gao ◽  
Hongqiang Li ◽  
Hang Guan ◽  
Longzhu Zheng ◽  
Xuejun Lai ◽  
...  
Keyword(s):  
Flame Retardant ◽  
Cotton Fabric ◽  
Motion Detection ◽  
Human Motion ◽  
Human Motion Detection ◽  
Facile Fabrication

Conductive superhydrophobic cotton fabrics via layer-by-layer assembly of carbon nanotubes for oil-water separation and human motion detection

2019 ◽  
Vol 253 ◽  
pp. 230-233 ◽  
Author(s):  
Longzhu Zheng ◽  
Xiaojing Su ◽  
Xuejun Lai ◽  
Wanjuan Chen ◽  
Hongqiang Li ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Motion Detection ◽  
Cotton Fabrics ◽  
Human Motion ◽  
Layer By Layer ◽  
Water Separation ◽  
Human Motion Detection ◽  
Oil Water Separation ◽  
Oil Water ◽  
Layer Assembly

scholarly journals Flexible and wearable strain sensor based on electrospun carbon sponge/polydimethylsiloxane composite for human motion detection

RSC Advances ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 4186-4193
Author(s):  
He Gong ◽  
Chuan Cai ◽  
Hongjun Gu ◽  
Qiushi Jiang ◽  
Daming Zhang ◽  
...  
Keyword(s):  
Motion Detection ◽  
Strain Sensor ◽  
Human Motion ◽  
Gauge Factor ◽  
Human Motion Detection ◽  
Tensile Strains

Electrospun carbon sponge was used to measure tensile strains with a high gauge factor.

Compressible and Robust PANI Sponge Anchored with Erected MXene Flakes for Human Motion Detection

2021 ◽  
pp. 106671
Author(s):  
Kangqi Chang ◽  
Le Li ◽  
Chao Zhang ◽  
Piming Ma ◽  
Weifu Dong ◽  
...  
Keyword(s):  
Motion Detection ◽  
Human Motion ◽  
Human Motion Detection

Piezoresistive sensor for human motion detection based on polyaniline decorated thermally exfoliated graphene oxide

2021 ◽  
Author(s):  
Tanmay Gupta ◽  
Seema Rani ◽  
Vivek Garg ◽  
Subrata Bandhu Ghosh ◽  
Sanchita Bandyopadhyay-Ghosh
Keyword(s):  
Graphene Oxide ◽  
Motion Detection ◽  
Human Motion ◽  
Exfoliated Graphene ◽  
Human Motion Detection ◽  
Piezoresistive Sensor

scholarly journals Multi-Target Intense Human Motion Analysis and Detection Using Channel State Information

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3379 ◽  
Author(s):  
Jialin Liu ◽  
Lei Wang ◽  
Jian Fang ◽  
Linlin Guo ◽  
Bingxian Lu ◽  
...  
Keyword(s):  
Channel State Information ◽  
Motion Detection ◽  
School Bullying ◽  
Human Motion ◽  
Line Of Sight ◽  
Human Motion Analysis ◽  
Channel State ◽  
Detection Scheme ◽  
State Information ◽  
Human Motion Detection

Intense human motion, such as hitting, kicking, and falling, in some particular scenes indicates the occurrence of abnormal events like violence and school bullying. Camera-based human motion detection is an effective way to analyze human behavior and detect intense human motion. However, even if the camera is properly deployed, it will still generate blind spots. Moreover, camera-based methods cannot be used in places such as restrooms and dressing rooms due to privacy issues. In this paper, we propose a multi-target intense human motion detection scheme using commercial Wi-Fi infrastructures. Compared with human daily activities, intense human motion usually has the characteristics of intensity, rapid change, irregularity, large amplitude, and continuity. We studied the changing pattern of Channel State Information (CSI) influenced by intense human motion, and extracted features in the pattern by conducting a large number of experiments. Considering occlusion exists in some complex scenarios, we distinguished the Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) conditions in the case of obstacles appearing between the transmitter and the receiver, which further improves the overall performance. We implemented the intense human motion detection system using single commercial Wi-Fi devices, and evaluated it in real indoor environments. The experimental results show that our system can achieve intense human motion detection rate of 90%.

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