2020
DOI: 10.1002/sdtp.13831
|View full text |Cite
|
Sign up to set email alerts
|

14‐1: Flexible Large‐Area Multi‐Fingerprint Sensors based on Thermal Mass Detection

Abstract: This paper shows the concept and design of a flexible large-area multi-fingerprint sensor. The sensor detects the thermal mass of different materials, e.g. the skin with high heat capacity and air with very low heat capacity. We show the device architecture and readout strategies. The performance of the 500ppi flexible sensor is not influenced by bending with a radius of 5mm.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 8 publications
0
1
0
Order By: Relevance
“…Recent advancements in processing technology have resulted in improved a-IGZO TFT performance, enabling more demanding applications [7]. As a consequence, novel applications can be envisioned using this technology, such as: physiological monitoring by wearable flexible health patches [27]- [30], temperature sensors [31], [32], displayintegrated fingerprint sensors [33]- [35] and piezoelectric pressure sensing [36], [37]. However, analog and mixed signal circuit design in a-IGZO TFT technologies has not reached maturity yet.…”
Section: Introductionmentioning
confidence: 99%
“…Recent advancements in processing technology have resulted in improved a-IGZO TFT performance, enabling more demanding applications [7]. As a consequence, novel applications can be envisioned using this technology, such as: physiological monitoring by wearable flexible health patches [27]- [30], temperature sensors [31], [32], displayintegrated fingerprint sensors [33]- [35] and piezoelectric pressure sensing [36], [37]. However, analog and mixed signal circuit design in a-IGZO TFT technologies has not reached maturity yet.…”
Section: Introductionmentioning
confidence: 99%