Action Recognition Through Device Sensors

Jevons Wang; Jiacheng Shang; Jie Wu

doi:10.1109/MASS.2017.84

Action Recognition Through Device Sensors

Jevons Wang, Jiacheng Shang, Jie Wu

Computer Science

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

Abstract

We have proposed a new form of action recognition using motion sensors built in mobile and wearable devices. Due to the miniaturization of hardware sensors, action classification through mobile sensors has become a much more attainable task. Using Android and Tizens integrated development environment, we have devised applications for each of these devices to document raw sensor data for analysis. Utilizing dynamic time warping, we attempt to recognize and classify actions based on differences in euclidean distances to build a strong database for further development.

Original language	English
Title of host publication	Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	492-496
Number of pages	5
ISBN (Electronic)	9781538623237
DOIs	https://doi.org/10.1109/MASS.2017.84
State	Published - 14 Nov 2017
Event	14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 - Orlando, United States Duration: 22 Oct 2017 → 25 Oct 2017

Publication series

Name	Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Conference

Conference	14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
Country/Territory	United States
City	Orlando
Period	22/10/17 → 25/10/17

Keywords

Wearable device
action classification
action recognition
dynamic time warping
time series

Access to Document

10.1109/MASS.2017.84

Cite this

Wang, J., Shang, J., & Wu, J. (2017). Action Recognition Through Device Sensors. In Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 (pp. 492-496). Article 8108785 (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MASS.2017.84

@inproceedings{913822857ef34cb28ac140103825907b,

title = "Action Recognition Through Device Sensors",

abstract = "We have proposed a new form of action recognition using motion sensors built in mobile and wearable devices. Due to the miniaturization of hardware sensors, action classification through mobile sensors has become a much more attainable task. Using Android and Tizens integrated development environment, we have devised applications for each of these devices to document raw sensor data for analysis. Utilizing dynamic time warping, we attempt to recognize and classify actions based on differences in euclidean distances to build a strong database for further development.",

keywords = "Wearable device, action classification, action recognition, dynamic time warping, time series",

author = "Jevons Wang and Jiacheng Shang and Jie Wu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 ; Conference date: 22-10-2017 Through 25-10-2017",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/MASS.2017.84",

language = "English",

series = "Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "492--496",

booktitle = "Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017",

}

Wang, J, Shang, J & Wu, J 2017, Action Recognition Through Device Sensors. in Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017., 8108785, Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 492-496, 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017, Orlando, United States, 22/10/17. https://doi.org/10.1109/MASS.2017.84

Action Recognition Through Device Sensors. / Wang, Jevons; Shang, Jiacheng; Wu, Jie.
Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 492-496 8108785 (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017).

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

TY - GEN

T1 - Action Recognition Through Device Sensors

AU - Wang, Jevons

AU - Shang, Jiacheng

AU - Wu, Jie

PY - 2017/11/14

Y1 - 2017/11/14

N2 - We have proposed a new form of action recognition using motion sensors built in mobile and wearable devices. Due to the miniaturization of hardware sensors, action classification through mobile sensors has become a much more attainable task. Using Android and Tizens integrated development environment, we have devised applications for each of these devices to document raw sensor data for analysis. Utilizing dynamic time warping, we attempt to recognize and classify actions based on differences in euclidean distances to build a strong database for further development.

AB - We have proposed a new form of action recognition using motion sensors built in mobile and wearable devices. Due to the miniaturization of hardware sensors, action classification through mobile sensors has become a much more attainable task. Using Android and Tizens integrated development environment, we have devised applications for each of these devices to document raw sensor data for analysis. Utilizing dynamic time warping, we attempt to recognize and classify actions based on differences in euclidean distances to build a strong database for further development.

KW - Wearable device

KW - action classification

KW - action recognition

KW - dynamic time warping

KW - time series

UR - http://www.scopus.com/inward/record.url?scp=85040601751&partnerID=8YFLogxK

U2 - 10.1109/MASS.2017.84

DO - 10.1109/MASS.2017.84

M3 - Conference contribution

AN - SCOPUS:85040601751

T3 - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

SP - 492

EP - 496

BT - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Y2 - 22 October 2017 through 25 October 2017

ER -

Wang J, Shang J, Wu J. Action Recognition Through Device Sensors. In Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 492-496. 8108785. (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017). doi: 10.1109/MASS.2017.84

Action Recognition Through Device Sensors

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this