Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2552 ◽  
Author(s):  
Ran Fang ◽  
Rongguo Song ◽  
Xin Zhao ◽  
Zhe Wang ◽  
Wei Qian ◽  
...  

In this article, a graphene-assembled film (GAF)-based compact and low-profile ultra-wide bandwidth (UWB) antenna is presented and tested for wearable applications. The highly conductive GAFs (~106 S/m) together with the flexible ceramic substrate ensure the flexibility and robustness of the antenna, which are two main challenges in designing wearable antennas. Two H-shaped slots are introduced on a coplanar-waveguide (CPW) feeding structure to adjust the current distribution and thus improve the antenna bandwidth. The compact GAF antenna with dimensions of 32 × 52 × 0.28 mm3 provides an impedance bandwidth of 60% (4.3–8.0 GHz) in simulation. The UWB characteristics are further confirmed by on-body measurements and show a bending insensitive bandwidth of ~67% (4.1–8.0 GHz), with the maximum gain at 7.45 GHz being 3.9 dBi and 4.1 dBi in its flat state and bent state, respectively. Our results suggest that the proposed antenna functions properly in close proximity to a human body and can sustain repetitive bending, which make it well suited for applications in wearable devices.


2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Luigi Vallozzi ◽  
Domenico Pepe ◽  
Thijs Castel ◽  
Hendrik Rogier ◽  
Domenico Zito

This paper reports the results of the on-body experimental tests of a set of four planar differential antennas, originated by design variations of radiating elements with the same shape and characterized by the potential for covering wide and narrow bands. All the antenna designs have been implemented on low-cost FR4 substrate and characterized experimentally through on-body measurements. The results show the impact of the proximity to the human body on antenna performance and the opportunities in terms of potential coverage of wide and narrow bands for future ad hoc designs and implementations through wearable substrates targeting on-body and off-body communication and sensing applications.


Author(s):  
Inga DABOLINA ◽  
Jelizaveta Fomina ◽  
Eva Lapkovska ◽  
Liene Silina

Correct body posture is a balanced musculoskeletal body position; however, today many people face severe posture defects, and their body posture may be far from a normal, causing progressive musculoskeletal deformities and pain, as well as affecting the functionality and appearance of the body. Human daily habits, lack of physical activities and overall a sedentary lifestyle cause such phenomena. The research focuses on studies of human body measurements and body characteristics while wearing posture-corrective equipment for the assessment of the effectiveness of different posture correctors (abbreviated as PoC). Four test-persons were selected and scanned using 3D anthropometrical scanner in relaxed stand position wearing five different posture correctors for a prolonged period of time in order to determine the effectiveness and functionality of each PoC. Four distance (linear) human body measurements were gained to quantify postural changes - scapula position depth, upper torso position, shoulder projection height and hip-waist depth. General feedbacks on each subject impression of wearing PoCs were also received. Correction of posture could serve as a preventive or treatment for spine-related problems; though, commercially available correctors could negatively affect wearer’s health due to non-conformity of the design and/or used material. Therefore, PoC selection and wearing procedures should be solved with more personalized and customized approaches.


2019 ◽  
Vol 89 (19-20) ◽  
pp. 4131-4147
Author(s):  
Jituo Li ◽  
Qiwei Yu ◽  
Haocai Xu ◽  
Guodong Lu ◽  
Dongliang Zhang

Anthropometric parameter based human modeling has been attractively explored and applied in human body related product design industries. However, how to conveniently obtain precise anthropometric parameters and how to make the human modeling results fit the anthropometric parameters well are still unsolved problems. In this paper, a smart garment attached with a mechatronic sensor-net has been designed to measure multiple body dimensions precisely and simultaneously. Geometrically, this sensor-net corresponds to a feature curve-net. A 3D human model is statistically reconstructed with body measurements initially and is further optimized with the shape constraints from the feature curve-net. Experimental results verify the effectiveness of our approach in both human body measurement and 3D human body modeling.


Sign in / Sign up

Export Citation Format

Share Document