Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/100299
| Title: | Magnetoresistive sensor development roadmap (non-recording applications) | Authors: | Zheng, C Zhu, K De, Freitas, SC Chang, JY Davies, JE Eames, P Freitas, PP Kazakova, O Kim, C Leung, CW Liou, SH Ognev, A Piramanayagam, SN Ripka, P Samardak, A Shin, KH Tong, SY Tung, MJ Wang, SX Xue, S Yin, X Pong, PWT |
Issue Date: | Apr-2019 | Source: | IEEE transactions on magnetics, Apr. 2019, v. 55, no. 4, 0800130, p. 1-30 | Abstract: | Magnetoresistive (MR) sensors have been identified as promising candidates for the development of high-performance magnetometers due to their high sensitivity, low cost, low power consumption, and small size. The rapid advance of MR sensor technology has opened up a variety of MR sensor applications. These applications are in different areas that require MR sensors with different properties. Future MR sensor development in each of these areas requires an overview and a strategic guide. An MR sensor roadmap (non-recording applications) was therefore developed and made public by the Technical Committee of the IEEE Magnetics Society with the aim to provide an research and development (RD) guide for MR sensors intended to be used by industry, government, and academia. The roadmap was developed over a three-year period and coordinated by an international effort of 22 taskforce members from ten countries and 17 organizations, including universities, research institutes, and sensor companies. In this paper, the current status of MR sensors for non-recording applications was identified by analyzing the patent and publication statistics. As a result, timescales for MR sensor development were established and critical milestones for sensor parameters were extracted in order to gain insight into potential MR sensor applications (non-recording). Five application areas were identified, and five MR sensor roadmaps were established. These include biomedical applications, flexible electronics, position sensing and human-computer interactions, non-destructive evaluation and monitoring, and navigation and transportation. Each roadmap was analyzed using a logistic growth model, and new opportunities were predicted based on the extrapolated curve, forecast milestones, and professional judgment of the taskforce members. This paper provides a framework for MR sensor technology (non-recording applications) to be used for public and private RD planning, in order to provide guidance into likely MR sensor applications, products, and services expected in the next 15 years and beyond. | Keywords: | Internet of Things (IoT) Magnetoresistive sensor Research and development (R&D) guide Roadmap Smart living |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on magnetics | ISSN: | 0018-9464 | EISSN: | 1941-0069 | DOI: | 10.1109/TMAG.2019.2896036 | Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Zheng, C., Zhu, K., De Freitas, S. C., Chang, J. Y., Davies, J. E., Eames, P., ... & Pong, P. W. (2019). Magnetoresistive sensor development roadmap (non-recording applications). IEEE Transactions on Magnetics, 55(4), 0800130, 1-30 is available at https://doi.org/10.1109/TMAG.2019.2896036. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Leung_Magnetoresistive_Sensor_Development.pdf | Pre-Published version | 5.11 MB | Adobe PDF | View/Open |
Page views
73
Citations as of Apr 14, 2025
Downloads
367
Citations as of Apr 14, 2025
SCOPUSTM
Citations
161
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
164
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



