A Quantization Method for Haptic Data Lossy Compression

被引：0

作者：

Nakano, Tomohiro ^{[1
]}

Uozumi, Seiji ^{[1
]}

Johansson, Rolf ^{[2
]}

Ohnishi, Kouhei ^{[3
]}

机构：

[1] Keio Univ, Grad Sch Sci & Technol, Yokohama, Kanagawa, Japan

[2] Lund Univ, Dept Automat Control, Lund, Sweden

[3] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa, Japan

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM) | 2015年

关键词：

MANIPULATOR; IMAGE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a quantization scheme for haptic data compression is proposed and the results of its application to a motion copying system are described. The data compression of image and audio data has been researched a lot. However, the data compression of haptic data has not been much researched yet although the amount of haptic data is large in general. The discrete cosine transform (DCT) is used for the lossy compression of haptic data in this paper. A new quantization scheme using characteristics of DCT is proposed. By using a proposed method, a larger signal-to-noise ratio compared to conventional method is achieved. In the experiment, the validity of the proposed method was verified.

引用

页码：126 / 131

页数：6

共 50 条

[1] Lossy compression of haptic data
Ortega, A
Liu, YF
TOUCH IN VIRTUAL ENVIRONMENTS: HAPTICS AND THE DESIGN OF INTERACTIVE SYSTEMS, 2002, : 119 - 136
[2] Lossy compression of haptic data by using DCT
Tanaka H.
Ohnishi K.
IEEJ Transactions on Industry Applications, 2010, 130 (08) : 945 - 952+2
[3] Lossy compression of hyperspectral data using vector quantization
Ryan, MJ
Arnold, JF
REMOTE SENSING OF ENVIRONMENT, 1997, 61 (03) : 419 - 436
[4] Implementation of Lossy Haptic Data Compression Using Integer DCT to FPGA
Tanaka, Hiroyuki
Ohnishi, Kouhei
Nishi, Hiroaki
IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,
[5] Fractal Image Compression Method for Lossy Data Compression
Artuger, Firat
Ozkaynak, Fatih
2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,
[6] A new lossy compression method based on Vector Quantization and mean of block
Tsai, A-Pei
Hsiao, Ju-Yuan
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2002, 1 : 33 - 38
[7] Pointwise redundancy in lossy data compression and universal lossy data compression
Kontoyiannis, I
IEEE TRANSACTIONS ON INFORMATION THEORY, 2000, 46 (01) : 136 - 152
[8] Passive Event-Based Extrapolation for Lossy Haptic Data Compression in Bilateral Presence Systems
Kremer, Philipp
Kuschel, Martin
Preusche, Carsten
Buss, Martin
Hirzinger, Gerd
ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2009, : 3039 - +
[9] Lossy compression of elevation data
Franklin, WR
Said, A
ADVANCES IN GIS RESEARCH II, 1997, : 519 - 531
[10] Effect of lossy vector quantization hyperspectral data compression on retrieval of red-edge indices
Qian, SE
Hollinger, AB
Dutkiewicz, M
Tsang, H
Zwick, H
Freemantle, JR
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (07): : 1459 - 1470

← 1 2 3 4 5 →