EVALUATION OF VARIOUS PARAMETERS OF NATTADAVU IN BHARATANATYAM USING A RASPBERRY Pi-BASED SENSOR

被引：0
|
作者：
Ramya, A. [1 ]
Natarajan, S. [2 ]
Nithya, A. [2 ]
Sarala, M. S. [1 ]
Karuppuchamy, S. [2 ]
机构：
[1] Alagappa Univ, Dept Fine Arts, Karaikkudi, India
[2] Alagappa Univ, Dept Energy Sci, Karaikkudi, India
来源：
MOMENTO-REVISTA DE FISICA | 2024年 / 68期
关键词：
Raspberry Pi; MPU9250; sensor; Bharatanatyam dance; measuring dance;
D O I：
10.15446/mo.n68.110342
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
The Bharatanatyam dance requires excellent coherency and precision from the performer. In order to calibrate and gauge the physical moments of the performer, we propose a Raspberry Pi based sensor. Using the data obtained from the prototype, the classical Bharatanatyam dance movements of a performer have been sensed and analyzed. Based on the results, suggestions to improve the performance of Bharatanatyam are reported.
引用
收藏
页码：11 / 26
页数：16
相关论文
共 50 条
  • [1] A Raspberry Pi-Based Attitude Sensor
    Sreejith, A. G.
    Mathew, Joice
    Sarpotdar, Mayuresh
    Mohan, Rekhesh
    Nayak, Akshata
    Safonova, Margarita
    Murthy, Jayant
    JOURNAL OF ASTRONOMICAL INSTRUMENTATION, 2014, 3 (02)
  • [2] Raspberry Pi-based cluster network for the emulation of sensor networks in remote teaching
    Parejo, Antonio
    Garcia, Sebastian
    Francisco Larios, Diego
    Gallardo, Alejandro
    Luque, Joaquin
    Leon, Carlos
    XV INTERNATIONAL CONFERENCE OF TECHNOLOGY, LEARNING AND TEACHING OF ELECTRONICS (TAEE 2022), 2022,
  • [3] Raspberry Pi-Based Surveillance System with IoT
    Jayakumar, Arvin Joseph Kumar
    Muthulakshmi, S.
    INTELLIGENT EMBEDDED SYSTEMS, ICNETS2, VOL II, 2018, 492 : 173 - 185
  • [4] Predictive Maintenance with Sensor Data Analytics on a Raspberry Pi-Based Experimental Platform
    Chuang, Shang-Yi
    Sahoo, Nilima
    Lin, Hung-Wei
    Chang, Yeong-Hwa
    SENSORS, 2019, 19 (18)
  • [5] RaPiD: a Raspberry Pi-based optical fundoscope
    J. H. Gagan
    J. R. Harish Kumar
    Chandra Sekhar Seelamantula
    Chandrashekara S. Adiga
    ISSS Journal of Micro and Smart Systems, 2022, 11 (2) : 397 - 405
  • [6] Raspberry Pi-Based VoIP System For Rural Area
    Kurniawati, Nazmia
    Affandi, Achmad
    Pratomo, Istas
    Gyoda, Koichi
    2018 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA 2018), 2018, : 33 - 38
  • [7] RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS
    Shriethar, Natarajan
    Chandramohan, Narmadha
    Rathinam, Chandramohan
    MOMENTO-REVISTA DE FISICA, 2022, (65): : 52 - 64
  • [8] A Raspberry Pi-Based Platform for Signal Processing Education
    Pasolini, Gianni
    Bazzi, Alessandro
    Zabini, Flavio
    IEEE SIGNAL PROCESSING MAGAZINE, 2017, 34 (04) : 151 - 158
  • [9] Raspberry Pi-based HIL simulators for control education
    Sobota, J.
    Goubej, M.
    Konigsmarkova, J.
    Cech, M.
    IFAC PAPERSONLINE, 2019, 52 (09): : 68 - 73
  • [10] Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems
    Pecolt, Sebastian
    Blazejewski, Andrzej
    Krolikowski, Tomasz
    Maciejewski, Igor
    Gierula, Kacper
    Glowinski, Sebastian
    APPLIED SCIENCES-BASEL, 2025, 15 (02):
12345