Evaluation of dominant and non-dominant hand movements for volleyball action modelling

Fasih Haider; Fahim Salim; Vahid Naghashi; Sena Busra Yengec Tasdemir; Izem Tengiz; Kubra Cengiz; Dees Postma; Robby Van Delden; Dennis Reidsma; Bert-Jan van Beijnum; Saturnino Luz

doi:10.1145/3351529.3360651

Evaluation of dominant and non-dominant hand movements for volleyball action modelling

Fasih Haider, Fahim Salim, Vahid Naghashi, Sena Busra Yengec Tasdemir, Izem Tengiz, Kubra Cengiz, Dees Postma, Robby Van Delden, Dennis Reidsma, Bert-Jan van Beijnum, Saturnino Luz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

41 Downloads (Pure)

Abstract

In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, “decision fusion” of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with “decision fusion”.

Original language	English
Title of host publication	ICMI '19
Subtitle of host publication	Adjunct of the 2019 International Conference on Multimodal Interaction
Publisher	Association for Computing Machinery
ISBN (Electronic)	78-1-4503-6937-4
DOIs	https://doi.org/10.1145/3351529.3360651
Publication status	Published - 14 Oct 2019
Event	21st ACM International Conference on Multimodal Interaction, ICMI 2019 - Worldhotel Grand Dushulake Suzhou, Suzhou, China Duration: 14 Oct 2019 → 18 Oct 2019 Conference number: 21 http://icmi.acm.org/2019/

Conference

Conference	21st ACM International Conference on Multimodal Interaction, ICMI 2019
Abbreviated title	ICMI 2019
Country/Territory	China
City	Suzhou
Period	14/10/19 → 18/10/19
Internet address	http://icmi.acm.org/2019/

Keywords

2024 OA procedure
Human-Media Interaction
Multimodal Feedback
Gestures Analysis

Access to Document

10.1145/3351529.3360651

a8-haiderFinal published version, 985 KBLicence: Taverne

Cite this

Haider, F., Salim, F., Naghashi, V., Yengec Tasdemir, S. B., Tengiz, I., Cengiz, K., Postma, D., Van Delden, R., Reidsma, D., van Beijnum, B.-J., & Luz, S. (2019). Evaluation of dominant and non-dominant hand movements for volleyball action modelling. In ICMI '19: Adjunct of the 2019 International Conference on Multimodal Interaction Article 8 Association for Computing Machinery. https://doi.org/10.1145/3351529.3360651

@inproceedings{51752aa7de26416bba1d50564474d240,

title = "Evaluation of dominant and non-dominant hand movements for volleyball action modelling",

abstract = "In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, “decision fusion” of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with “decision fusion”.",

keywords = "2024 OA procedure, Human-Media Interaction, Multimodal Feedback, Gestures Analysis",

author = "Fasih Haider and Fahim Salim and Vahid Naghashi and {Yengec Tasdemir}, {Sena Busra} and Izem Tengiz and Kubra Cengiz and Dees Postma and {Van Delden}, Robby and Dennis Reidsma and {van Beijnum}, Bert-Jan and Saturnino Luz",

year = "2019",

month = oct,

day = "14",

doi = "10.1145/3351529.3360651",

language = "English",

booktitle = "ICMI '19",

publisher = "Association for Computing Machinery",

address = "United States",

note = "21st ACM International Conference on Multimodal Interaction, ICMI 2019, ICMI 2019 ; Conference date: 14-10-2019 Through 18-10-2019",

url = "http://icmi.acm.org/2019/",

}

Haider, F, Salim, F, Naghashi, V, Yengec Tasdemir, SB, Tengiz, I, Cengiz, K, Postma, D, Van Delden, R , Reidsma, D , van Beijnum, B-J & Luz, S 2019, Evaluation of dominant and non-dominant hand movements for volleyball action modelling. in ICMI '19: Adjunct of the 2019 International Conference on Multimodal Interaction., 8, Association for Computing Machinery, 21st ACM International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, 14/10/19. https://doi.org/10.1145/3351529.3360651

Evaluation of dominant and non-dominant hand movements for volleyball action modelling. / Haider, Fasih; Salim, Fahim; Naghashi, Vahid et al.
ICMI '19: Adjunct of the 2019 International Conference on Multimodal Interaction. Association for Computing Machinery, 2019. 8.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Evaluation of dominant and non-dominant hand movements for volleyball action modelling

AU - Haider, Fasih

AU - Salim, Fahim

AU - Naghashi, Vahid

AU - Yengec Tasdemir, Sena Busra

AU - Tengiz, Izem

AU - Cengiz, Kubra

AU - Postma, Dees

AU - Van Delden, Robby

AU - Reidsma, Dennis

AU - van Beijnum, Bert-Jan

AU - Luz, Saturnino

N1 - Conference code: 21

PY - 2019/10/14

Y1 - 2019/10/14

N2 - In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, “decision fusion” of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with “decision fusion”.

AB - In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, “decision fusion” of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with “decision fusion”.

KW - 2024 OA procedure

KW - Human-Media Interaction

KW - Multimodal Feedback

KW - Gestures Analysis

U2 - 10.1145/3351529.3360651

DO - 10.1145/3351529.3360651

M3 - Conference contribution

BT - ICMI '19

PB - Association for Computing Machinery

T2 - 21st ACM International Conference on Multimodal Interaction, ICMI 2019

Y2 - 14 October 2019 through 18 October 2019

ER -

Evaluation of dominant and non-dominant hand movements for volleyball action modelling

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this