A5008364986- Advanced Sensor and Energy Harvesting Materials
- Interactive and Immersive Displays
- Tactile and Sensory Interactions
- Analytical Chemistry and Sensors
- Advanced Sensor Technologies Research
- Innovative Energy Harvesting Technologies
- European Union Policy and Governance
- Refrigeration and Air Conditioning Technologies
- Russia and Soviet political economy
- Energy Harvesting in Wireless Networks
- Sensor Technology and Measurement Systems
- Mechanical and Optical Resonators
- Analog and Mixed-Signal Circuit Design
- International Relations and Foreign Policy
- Advanced MEMS and NEMS Technologies
- thermodynamics and calorimetric analyses
- Heat Transfer and Optimization
University College London
2016-2019
Force touch based interactivity has been widely integrated into displays equipped in most of smart electronic systems such as smartphones and tablets. This paper reports on application artificial neural networks to analyze data generated from piezoelectric panels for providing customized force sensing operation. Based the experimental results, high accuracy (93.3%) is achieved when three levels are used. Two-dimensional sensing, also with proposed technique, detection (95.2%). The technique...
Piezoelectric force touch panels receive increased attentions in recent years. However, user-induced nonstable force-voltage responsivity limits their successful use interactive displays. In this work, touch-induced capacitive information is used for estimating contact area and angle, which are further employed to interpret user performed amplitude. A promising result of improving the stability by 85% achieved, enhancing experience advancing development piezoelectric sensing
High detection accuracy in piezoelectric-based force sensing interactive displays has gained global attention. To achieve this, artificial neural networks (ANN)—successful and widely used machine learning algorithms—have been demonstrated to be potentially powerful tools, providing acceptable location of 95.2% level recognition 93.3% a previous study. While these values might for conventional operations, e.g., opening folder, they must boosted applications where intensive operations are...
A smart thermal flow sensor system is presented. It makes use of a novel heater control circuit, which can automatically set the operating mode to either constant power or temperature difference. overcomes limitations single-mode sensors, such as overshoots at low rates mode, excessive consumption high difference mode. The especially useful for sensitive and portable applications, respiratory monitoring medical diagnostics. In this article, detailed description sensor's design,...
This paper evaluates the impact of operating modes, power consumption, and placement temperature sensors against heater to design a calorimetric flow sensor, for range 4.7 56.5 liters per minute (slm). In contrast previous works most which simply indicated choice various parameters rather than providing justification, this work provides useful guidelines optimizing low-power small-area respiratory monitoring applications. A figure merit (FoM) is defined as product consumption sensor size,...
This work compares the resolution of calorimetric flow sensors in constant powere mode using symmetrically located sensing elements to those asymmetrical locations, for rates higher than turn-over point. The experimental results show that can be improved up six times by placing temperature unequal distances, same power consumption.