A Method for Cricket Bowling Action Classification and Analysis Using a System of Inertial Sensors

被引：0
|
作者：
Qaisar, Saad [1 ]
Imtiaz, Sahar [1 ]
Glazier, Paul [2 ]
Farooq, Fatima [1 ]
Jamal, Amna [1 ]
Iqbal, Wafa [1 ]
Lee, Sungyoung [3 ]
机构：
[1] Natl Univ Sci & Technol, Sch Elect Engn & Comp Sci, Islamabad, Pakistan
[2] Sheffield Hallam Univ, Sheffield S1 1WB, S Yorkshire, England
[3] Kyung Hee Univ, Seoul, South Korea
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PT I | 2013年 / 7971卷
关键词：
WSN; Bluetooth; K-means; MM; HMM; Cricket; Sports biomechanics; NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A number of similar structured wireless sensors, constituting a Wireless Sensor Network (WSN) are used for activity recognition-particularly for coaching of a bowler to practice correct bowling action in the game of cricket. Several experiments are conducted for training certain algorithms, like K-means and Hidden Markov Model, etc., and the real-time data acquired by a subject under study, or a cricket bowler, is tested for statistical characteristics' comparison. This paper explains the whole implemented system and the prime application in which it can assist in the field of cricket.
引用
收藏
页码：396 / 412
页数：17
相关论文
共 50 条
  • [1] A method for cricket bowling action classification and analysis using a system of inertial sensors
    Qaisar, Saad
    Imtiaz, Sahar
    Glazier, Paul
    Farooq, Fatima
    Jamal, Amna
    Iqbal, Wafa
    Lee, Sungyoung
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 7971 : 396 - 412
  • [2] Classification and legality analysis of bowling action in the game of cricket
    Salman, Muhammad
    Qaisar, Saad
    Qamar, Ali Mustafa
    DATA MINING AND KNOWLEDGE DISCOVERY, 2017, 31 (06) : 1706 - 1734
  • [3] Classification and legality analysis of bowling action in the game of cricket
    Muhammad Salman
    Saad Qaisar
    Ali Mustafa Qamar
    Data Mining and Knowledge Discovery, 2017, 31 : 1706 - 1734
  • [4] Virtual & inertial sensors to detect illegal cricket bowling
    Wixted, Andrew
    Portus, Marc
    James, Daniel
    ENGINEERING OF SPORT 8: ENGINEERING EMOTION - 8TH CONFERENCE OF THE INTERNATIONAL SPORTS ENGINEERING ASSOCIATION (ISEA), 2010, 2 (02): : 3453 - 3453
  • [5] Analysis of cricket shots using inertial sensors
    Busch, A.
    James, D. A.
    IMPACT OF TECHNOLOGY ON SPORTS II, 2008, : 317 - 322
  • [6] Elbow joint kinematics during cricket bowling using magneto-inertial sensors: A feasibility study
    Wells, Denny
    Alderson, Jacqueline
    Camomilla, Valentina
    Donnelly, Cyril
    Elliott, Bruce
    Cereatti, Andrea
    JOURNAL OF SPORTS SCIENCES, 2019, 37 (05) : 515 - 524
  • [7] Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning
    McGrath, Joseph W.
    Neville, Jonathon
    Stewart, Tom
    Cronin, John
    JOURNAL OF SPORTS SCIENCES, 2019, 37 (11) : 1220 - 1226
  • [8] Classification of trampoline jumps using inertial sensors
    Helten T.
    Brock H.
    Müller M.
    Seidel H.-P.
    Sports Engineering, 2011, 14 (2-4) : 155 - 164
  • [9] Human Action Recognition Based on Inertial Sensors and Complexity Classification
    Liu, Lijue
    Lei, Xiaoliang
    Chen, Baifan
    Shu, Lei
    JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2019, 12 (01) : 18 - 35
  • [10] An effective method of gait stability analysis using inertial sensors
    Hong, Sung Kyung
    Bae, Jinhyung
    Lee, Sug-Chon
    Kim, Jung-Yup
    Lee, Kwon-Yong
    MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4293 : 1220 - +
12345