A study on the receiving signal level in relation with the location of electrodes for wearable devices using human body as a transmission channel

2004 ◽  
Author(s):  
K. Fujii ◽  
K. Ito ◽  
S. Tajima
Keyword(s):  
Human Body ◽  
Wearable Devices ◽  
Transmission Channel

Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body

2021 ◽  
Vol 24 (3) ◽  
pp. 30-34
Author(s):  
Rishi Shukla ◽  
Neev Kiran ◽  
Rui Wang ◽  
Jeremy Gummeson ◽  
Sunghoon Ivan Lee
Keyword(s):  
Energy Source ◽  
Low Power ◽  
Human Body ◽  
Wearable Sensors ◽  
Primary Energy ◽  
Wearable Devices ◽  
Ultra Low Power ◽  
The Past ◽  
Key Barrier

Over the past few decades, we have witnessed tremendous advancements in semiconductor and MEMS technologies, leading to the proliferation of ultra-miniaturized and ultra-low-power (in micro-watt ranges) wearable devices for wellness and healthcare [1]. Most of these wearable sensors are battery powered for their operation. The use of an on-device battery as the primary energy source poses a number of challenges that serve as the key barrier to the development of novel wearable applications and the widespread use of numerous, seamless wearable sensors [5].

scholarly journals Acceleration Feature Extraction of Human Body Based on Wearable Devices

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 924
Author(s):  
Zhenzhen Huang ◽  
Qiang Niu ◽  
Ilsun You ◽  
Giovanni Pau
Keyword(s):  
Genetic Algorithm ◽  
Feature Extraction ◽  
Kalman Filter ◽  
Human Body ◽  
Wearable Devices ◽  
Human Motion ◽  
Data Set ◽  
Feature Extraction Method ◽  
Motion Data ◽  
Kalman Filter Algorithm

Wearable devices used for human body monitoring has broad applications in smart home, sports, security and other fields. Wearable devices provide an extremely convenient way to collect a large amount of human motion data. In this paper, the human body acceleration feature extraction method based on wearable devices is studied. Firstly, Butterworth filter is used to filter the data. Then, in order to ensure the extracted feature value more accurately, it is necessary to remove the abnormal data in the source. This paper combines Kalman filter algorithm with a genetic algorithm and use the genetic algorithm to code the parameters of the Kalman filter algorithm. We use Standard Deviation (SD), Interval of Peaks (IoP) and Difference between Adjacent Peaks and Troughs (DAPT) to analyze seven kinds of acceleration. At last, SisFall data set, which is a globally available data set for study and experiments, is used for experiments to verify the effectiveness of our method. Based on simulation results, we can conclude that our method can distinguish different activity clearly.

scholarly journals Human body heat for powering wearable devices: From thermal energy to application

2017 ◽  
Vol 131 ◽  
pp. 44-54 ◽  
Author(s):  
Moritz Thielen ◽  
Lukas Sigrist ◽  
Michele Magno ◽  
Christofer Hierold ◽  
Luca Benini
Keyword(s):  
Thermal Energy ◽  
Human Body ◽  
Wearable Devices ◽  
Body Heat

scholarly journals Compact and Low-Profile UWB Antenna Based on Graphene-Assembled Films for Wearable Applications

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2552 ◽  
Author(s):  
Ran Fang ◽  
Rongguo Song ◽  
Xin Zhao ◽  
Zhe Wang ◽  
Wei Qian ◽  
...  
Keyword(s):  
Human Body ◽  
Coplanar Waveguide ◽  
Wearable Devices ◽  
Impedance Bandwidth ◽  
Body Measurements ◽  
Uwb Antenna ◽  
Wearable Antennas ◽  
Low Profile ◽  
Close Proximity ◽  
Feeding Structure

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.

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