A Novel Energy-Efficient Approach for Human Activity Recognition

Lingxiang Zheng, Dihong Wu, Xiaoyang Ruan, Shaolin Weng, Ao Peng, Biyu Tang, Hai Lu, Haibin Shi, Huiru Zheng

Research output: Contribution to journalArticle

11 Citations (Scopus)
LanguageEnglish
Pages2064
JournalSensors
Volume17
Issue number9
DOIs
Publication statusPublished - 8 Sep 2017

Keywords

  • activity recognition
  • low power consumption
  • low sampling rate
  • energy-efficient classifier

Cite this

Zheng, L., Wu, D., Ruan, X., Weng, S., Peng, A., Tang, B., ... Zheng, H. (2017). A Novel Energy-Efficient Approach for Human Activity Recognition. Sensors, 17(9), 2064. https://doi.org/10.3390/s17092064
Zheng, Lingxiang ; Wu, Dihong ; Ruan, Xiaoyang ; Weng, Shaolin ; Peng, Ao ; Tang, Biyu ; Lu, Hai ; Shi, Haibin ; Zheng, Huiru. / A Novel Energy-Efficient Approach for Human Activity Recognition. In: Sensors. 2017 ; Vol. 17, No. 9. pp. 2064.
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title = "A Novel Energy-Efficient Approach for Human Activity Recognition",
keywords = "activity recognition, low power consumption, low sampling rate, energy-efficient classifier",
author = "Lingxiang Zheng and Dihong Wu and Xiaoyang Ruan and Shaolin Weng and Ao Peng and Biyu Tang and Hai Lu and Haibin Shi and Huiru Zheng",
year = "2017",
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day = "8",
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Zheng, L, Wu, D, Ruan, X, Weng, S, Peng, A, Tang, B, Lu, H, Shi, H & Zheng, H 2017, 'A Novel Energy-Efficient Approach for Human Activity Recognition', Sensors, vol. 17, no. 9, pp. 2064. https://doi.org/10.3390/s17092064

A Novel Energy-Efficient Approach for Human Activity Recognition. / Zheng, Lingxiang; Wu, Dihong; Ruan, Xiaoyang; Weng, Shaolin; Peng, Ao; Tang, Biyu; Lu, Hai; Shi, Haibin; Zheng, Huiru.

In: Sensors, Vol. 17, No. 9, 08.09.2017, p. 2064.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Novel Energy-Efficient Approach for Human Activity Recognition

AU - Zheng, Lingxiang

AU - Wu, Dihong

AU - Ruan, Xiaoyang

AU - Weng, Shaolin

AU - Peng, Ao

AU - Tang, Biyu

AU - Lu, Hai

AU - Shi, Haibin

AU - Zheng, Huiru

PY - 2017/9/8

Y1 - 2017/9/8

KW - activity recognition

KW - low power consumption

KW - low sampling rate

KW - energy-efficient classifier

U2 - 10.3390/s17092064

DO - 10.3390/s17092064

M3 - Article

VL - 17

SP - 2064

JO - Sensors

T2 - Sensors

JF - Sensors

SN - 1424-8220

IS - 9

ER -

Zheng L, Wu D, Ruan X, Weng S, Peng A, Tang B et al. A Novel Energy-Efficient Approach for Human Activity Recognition. Sensors. 2017 Sep 8;17(9):2064. https://doi.org/10.3390/s17092064