scholarly journals On the Representation of Human Motions and Distance-based Retargeting

2021 ◽  
Author(s):  
Simon Hengeveld ◽  
Antonio Mucherino
Keyword(s):  
Human Motions

Scavenging Mechanical Energy from Human Motions using Novel Bio Materials based TENG

2021 ◽  
Author(s):  
Jaspreet Kaur ◽  
Ravinder Singh Sawhney ◽  
Harminder Singh ◽  
Maninder Singh ◽  
Sachin Kumar Godara
Keyword(s):  
Mechanical Energy ◽  
Human Motions

scholarly journals Humanoid Whole-Body Movement Optimization from Retargeted Human Motions

2019 ◽  
Author(s):  
Waldez Gomes ◽  
Vishnu Radhakrishnan ◽  
Luigi Penco ◽  
Valerio Modugno ◽  
Jean-Baptiste Mouret ◽  
...  
Keyword(s):  
Body Movement ◽  
Whole Body ◽  
Human Motions ◽  
Whole Body Movement

3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions

2020 ◽  
pp. 1-13 ◽  
Author(s):  
Chun-Yang Zhang ◽  
Yong-Yi Xiao ◽  
Jin-Cheng Lin ◽  
C. L. Philip Chen ◽  
Wenxi Liu ◽  
...  
Keyword(s):  
Representation Learning ◽  
Human Motions

Graphene-Paper Pressure Sensor for Detecting Human Motions

ACS Nano ◽  
2017 ◽  
Vol 11 (9) ◽  
pp. 8790-8795 ◽  
Author(s):  
Lu-Qi Tao ◽  
Kun-Ning Zhang ◽  
He Tian ◽  
Ying Liu ◽  
Dan-Yang Wang ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Graphene Paper ◽  
Human 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.

Abrasion Tolerant, Non-Stretchable and Super-Water-Repellent Conductive & Ultrasensitive Pattern for Identifying Slow, Fast, Weak and Strong Human Motions at Diverse Conditions

2021 ◽  
Author(s):  
Supriya Das ◽  
Rajan Singh ◽  
Avijit Das ◽  
Sudipta Bag ◽  
Roy P. Paily ◽  
...  
Keyword(s):  
Response Time ◽  
Mechanical Deformation ◽  
Water Repellent ◽  
Electrical Signals ◽  
Ultrahigh Sensitivity ◽  
Human Motions

The conversion of mechanical deformation into electrical signals is a widely used principle for various relevant applications. Facile & scalable fabrication, ultrahigh-sensitivity, low-response time and uninterrupted performance at severe conditions...

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
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