The week's pick
Random Articles
Reseach Article
WiHRR: CSI based English Alphabet Handwriting Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 14 |
| Year of Publication: 2020 |
| Authors: Aktar Hossen, Feng Xiufang, Xiong XiaoQiao, Zhang Xin |
10.5120/ijca2020920068
|
Aktar Hossen, Feng Xiufang, Xiong XiaoQiao, Zhang Xin . WiHRR: CSI based English Alphabet Handwriting Recognition. International Journal of Computer Applications. 176, 14 ( Apr 2020), 31-37. DOI=10.5120/ijca2020920068
Abstract
Human Computer Interaction has been an important and vital subject of research since last few years and new and innovative techniques are being implemented in this field with each passing day. This research paper tries to improve existing samples of Channel frequency Response (CFR) that is obtained from Wi-Fi devices in the form of channel state information (CSI). In this research article, handwriting is used as an input but character recognition is not done on the paper but in the air.It discusses all the important procedures which are undertaken to accomplish this task which include fetching the input, pre-processing , feature extraction and classification of characters using machine learning algorithms.Current wireless devices can measure the interference caused by handwritten English alphabet in the range of signal coverage during the transmission of wireless signals in their own channels, and these measured interference s can be applied to handwritten recognition. Compared with traditional behavior recognition using cameras or wearable sensor devices, handwritten recognition using Wi-Fi wireless signals has more unexpected benefits: first, the wireless signals do not need LOS (line of sight) monitoring; second, no need to wear redundant sensor devices; and, at the same time, no need to wear redundant sensor devices. Wireless signals can be deployed in various scenarios without dead corners, such as home, office, public area and so on. Compared with the camera, the behavior recognition based on wireless signal is not affected by the weather.
References
- Yanmin Zhu 1, Zhibo Yang 2, Bo Yuan 3. Vision Based Hand Gesture Recognition.IEEE,2013
- Kui Liu, Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz. Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition.IEEE,2014
- Yu-Liang Hsu, Cheng-Ling Chu, Yi-Ju Tsai, and Jeen-Shing Wang. An Inertial Pen With Dynamic Time Warping Recognizer for Handwriting and Gesture Recognition.IEEE,2015
- Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu. How Often Should CSI be Updated for Massive MIMO Systems with Massive Connectivity. [cs.IT] ,28 Jul 2017
- Sharad Vikram, Lei Li, Stuart Russell. Handwriting and Gestures in the Air, Recognizing on the Fly.IEEE, 2013
- Jeen-Shing Wang, Yu-Liang Hsu, Cheng-Ling Chu. Online Handwriting Recognition Using an Accelerometer-Based Pen Device. 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
- Shashidhar,Patil,DubeomKim,SeongsillPark,andYounghoChai.Handwriting Recognition in Free Space Using WIMU-Based Hand Motion Analysis. Hindawi Publishing Corporation,2016
- Christoph Amma, Marcus Georgi, Tanja Schultz. Airwriting: Hands-free Mobile Text Input by Spotting and Continuous Recognition of 3d-Space Handwriting with Inertial Sensor.IEEE,2012
- Christoph Amma · Marcus Georgi · Tanja Schultz. Airwriting: A wearable handwriting recognition system. Institute for Anthropomatics,2013
- Mingyu Chen, Ghassan AlRegib, Biing-Hwang Juang. Air-writing Recognition, Part 1: Modeling and Recognition of Characters, Words and Connecting Motions.IEEE,2015
- Mingyu Chen, Ghassan AlRegib, Biing-Hwang Juang. Air-writing Recognition, Part 2: Detection and Recognition of Writing Activity in Continuous Stream of Motion Data.IEEE,2015
- Wenjun Zeng. A New Writing Experience: Finger Writing in the Air Using a Kinect Sensor.IEEE,2013
- Giulio Marin, Fabio Dominio, Pietro Zanuttigh. HAND GESTURE RECOGNITION WITH LEAP MOTION AND KINECT DEVICES.IEEE,2014
- Chong Wang, Zhong Liu, and Shing-Chow Chan. Superpixel-Based Hand Gesture Recognition With Kinect Depth Camer.IEEE,2015
- Toshio Asano and Sachio Honda. Visual Interface System by Character Handwriting Gestures in the Air.IEEE,2010
- Yogita Chapre,Aleksandar Ignjatovi, Aruna Seneviratne,and Sanjay Jha. CSI-MIMO: Indoor Wi-Fi Fingerprinting System.IEEE,2014
- Wenfeng He, Kaishun Wu, Yongpan Zou, Zhong Ming. WiG: WiFi-based Gesture Recognition System.IEEE,2015
- Sharad Vikram, Lei Li, Stuart Russell. Handwriting and Gestures in the Air version advanced, Recognizing on the Fly.IEEE, 2017
- L. Sun, S. Sen, D. Koutsonikolas, and K.-H. Kim, “Widraw: Enablinghands-free drawing in the air on commodity wifi devices,” in Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. ACM, 2015, pp. 77–89.
- Wei Wang, Alex X. Liu, Ke Sun. Device-FreeGestureTrackingUsingAcousticSignals.IEEE,2016
- Jeen-Shing Wang, Member, IEEE, and Fang-Chen Chuang. An Accelerometer-Based Digital Pen With a Trajectory Recognition Algorithm for Handwritten Digit and Gesture Recognition.IEEE.2012
- Qifan Pu, Sidhant Gupta, Shyamnath Gollakota, and Shwetak Patel. Whole-Home Gesture Recognition Using Wireless Signals. MobiCom,2013
- Ruize Xu, Shengli Zhou, and Wen J. Li. MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition.IEEE,2012
- Zhangjie Fu, Jiashuang Xu, Zhuangdi Zhu, Alex X. Liu and Xingming Sun. Writing in the Air with WiFi Signals for Virtual Reality Devices.IEEE,2018
- Wei Wang,Alex X. Liu, Muhammad Shahzad,et al.Understanding and Modeling of WiFi Signal Based Human Activity Recognition[J].ACM 2015.9.11
- Yuxi Wang, Student Member, IEEE, Kaishun Wu, Member, IEEE, and Lionel M. Ni. WiFall: Device-free Fall Detection by Wireless Networks.IEEE,2014
- X. Cao, B. Chen, and Y. Zhao, “Wi-wri: Fine-grained writing recognition using wi-fi signals,” in Trustcom/BigDataSE, 2016 IEEE
- Zhangjie Fu, Jiashuang Xu, Zhuangdi Zhu, Alex X. Liu and Xingming Sun. Writing in the Air with WiFi Signals for Virtual Reality Devices.IEEE, 2018
- Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, et al. PADS: Passive Detection of Moving Targets with Dynamic Speed using PHY Layer Information[J].IEEE,2014.
- Deng Chen, Li Du, Zhiping Jiang,et al.Fine-Grained Indoor Localization using Multidimensional Wi-Fi Fingerprinting[J]. IEEE 2014
- Zhangjie Fu, Jiashuang Xu, Zhuangdi Zhu, Alex X. Liu and Xingming Sun. Writing in the Air with WiFi Signals for Virtual Reality Devices.IEEE,2018
- Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, et al. PADS: Passive Detection of Moving Targets with Dynamic Speed using PHY Layer Information[J].IEEE,2014
- Deng Chen, Li Du, Zhiping Jiang,et al.Fine-Grained Indoor Localization using Multidimensional Wi-Fi Fingerprinting[J]. IEEE 2014
- Deng Chen, Li Du, Zhiping Jiang,et al.Fine-Grained Indoor Localization using Multidimensional Wi-Fi Fingerprinting[J]. IEEE 2014
Index Terms
Keywords