scholarly journals Wearable Sensors Based on Force-Sensitive Resistors for Touch-Based Collaborative Digital Gaming

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 342
Author(s):  
Balaji Dontha ◽  
Kyoung Swearingen ◽  
Scott Swearingen ◽  
Susan E. Thrane ◽  
Asimina Kiourti
Keyword(s):  
Future Development ◽  
State Of The Art ◽  
Wearable Sensors ◽  
Detection Performance ◽  
The State ◽  
Performance Study ◽  
Digital Gaming ◽  
Parametric Studies ◽  
Physical Abilities ◽  
Applied Forces

We report new classes of wearable sensors that monitor touch between fully-abled and disabled players in order to empower collaborative digital gaming between the two. Our approach relies on embroidered force-sensitive resistors (FSRs) embedded into armbands, which outperform the state-of-the-art in terms of sensitivity to low applied forces (0 to 5 N). Such low forces are of key significance to this application, given the diverse physical abilities of the players. With a focus on effective gameplay, we further explore the sensor’s touch-detection performance, study the effect of the armband fabric selection, and optimize the sensor’s placement upon the arm. Our results: (a) demonstrate a 4.4-times improvement in sensitivity to low forces compared to the most sensitive embroidered FSR reported to date, (b) confirm the sensor’s ability to empower touch-based collaborative digital gaming for individuals with diverse physical abilities, and (c) provide parametric studies for the future development of diverse sensing solutions and game applications.

A Survey of Real-Time Industrial Wireless LAN Research

2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou
Keyword(s):  
Real Time ◽  
Future Development ◽  
Wireless Lan ◽  
State Of The Art ◽  
The State ◽  
Local Networks ◽  
The Real ◽  
Time Requirements ◽  
And Performance ◽  
Fundamental Mechanism

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.

scholarly journals Confidence-Calibrated Human Activity Recognition

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6566
Author(s):  
Debaditya Roy ◽  
Sarunas Girdzijauskas ◽  
Serghei Socolovschi
Keyword(s):  
Neural Network ◽  
Activity Recognition ◽  
State Of The Art ◽  
Wearable Sensors ◽  
Window Size ◽  
Well Being ◽  
The State ◽  
Calibration Error ◽  
Network Architectures ◽  
Neural Network Architectures

Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sensors. However, most state-of-the-art DL models used for AR are trained to discriminate different activity classes at high accuracy, not considering the confidence calibration of predictive output of those models. This results in probabilistic estimates that might not capture the true likelihood and is thus unreliable. In practice, it tends to produce overconfident estimates. In this paper, the problem is addressed by proposing deep time ensembles, a novel ensembling method capable of producing calibrated confidence estimates from neural network architectures. In particular, the method trains an ensemble of network models with temporal sequences extracted by varying the window size over the input time series and averaging the predictive output. The method is evaluated on four different benchmark HAR datasets and three different neural network architectures. Across all the datasets and architectures, our method shows an improvement in calibration by reducing the expected calibration error (ECE)by at least 40%, thereby providing superior likelihood estimates. In addition to providing reliable predictions our method also outperforms the state-of-the-art classification results in the WISDM, UCI HAR, and PAMAP2 datasets and performs as good as the state-of-the-art in the Skoda dataset.

scholarly journals The Position of Ammonia in Decarbonising Maritime Industry: An Overview and Perspectives: Part II

2021 ◽  
Author(s):  
Tuğçe Ayvalı ◽  
S. C. Edman Tsang ◽  
Tim Van Vrijaldenhoven
Keyword(s):  
Green Synthesis ◽  
Future Development ◽  
State Of The Art ◽  
The State ◽  
Synthesis Methods ◽  
Maritime Industry ◽  
Environmental Aspects ◽  
Fuel Switching ◽  
Current Production ◽  
Production Technologies

This is Part II of an overview of the state-of-the-art and emerging technologies for decarbonising shipping using ammonia as a fuel. Part I (1) covered general properties of ammonia, the current production technologies with an emphasis on green synthesis methods, onboard storage and ways to generate power from it. The safety and environmental aspects, as well as challenges for the adaptation of technology to maritime structure, and an insight for the level of costs during fuel switching are now discussed to provide perspectives and a roadmap for future development of the technology.

Systematic Paleontology

2001 ◽  
Vol 75 (6) ◽  
pp. 1055-1057 ◽  
Author(s):  
Jonathan M. Adrain
Keyword(s):  
Future Development ◽  
State Of The Art ◽  
The State ◽  
Future Directions ◽  
General Overview ◽  
Systematic Paleontology ◽  
Review Articles ◽  
The Future ◽  
History Of ◽  
History Of Study

With this issue we mark publication of the 75th volume of the Journal of Paleontology, and celebrate the occasion with a series of review articles on the systematics of major groups of fossils. Instructions to authors were very broad: we suggested consideration of the history of study, current problems, and future directions, but otherwise left authors to focus their reviews as they saw fit. We hoped in this way, with a mix of traditions and approaches, to fashion a general overview of the systematics of fossil organisms as practiced today. With the enthusiastic efforts of the contributors, I think we've been successful. The papers in this issue comprise authoritative reviews of the state of the art in various branches of paleontology. But even if one is not concerned with the details of particular groups, the contributions provide a fascinating sense of where the discipline is, and where it might be going. Although concerned mainly with systematic history, they nevertheless provide a flavor of the kinds of concerns we have as a community for the future development of our science.

Sign in / Sign up

Export Citation Format

Share Document