ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters

Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

3 被引用数 (Scopus)

抄録

We present ZEL, the first net-zero-energy lifelogging system that allows office workers to collect semi-permanent records of when, where, and what activities they perform on company premises. ZEL achieves high accuracy lifelogging by using heterogeneous energy harvesters with different characteristics. The system is based on a 192-gram nametag-shaped wearable device worn by each employee that is equipped with two comparators to enable seamless switching between system states, thereby minimizing the battery usage and enabling net-zero-energy, semi-permanent data collection. To demonstrate the effectiveness of our system, we conducted data collection experiments with 11 participants in a practical environment and found that the person-dependent (PD) model achieves an 8-place recognition accuracy level of 87.2% (weighted F-measure) and a static/dynamic activities recognition accuracy level of 93.1% (weighted F-measure). Additional testing confirmed the practical long-Term operability of the system and showed it could achieve a zero-energy operation rate of 99.6% i.e., net-zero-energy operation.

本文言語英語
ホスト出版物のタイトル2022 IEEE International Conference on Pervasive Computing and Communications, PerCom 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ172-179
ページ数8
ISBN(電子版)9781665416436
DOI
出版ステータス出版済み - 2022
イベント20th IEEE International Conference on Pervasive Computing and Communications, PerCom 2022 - Pisa, イタリア
継続期間: 3月 21 20223月 25 2022

出版物シリーズ

名前2022 IEEE International Conference on Pervasive Computing and Communications, PerCom 2022

会議

会議20th IEEE International Conference on Pervasive Computing and Communications, PerCom 2022
国/地域イタリア
CityPisa
Period3/21/223/25/22

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用
  • 器械工学
  • 人工知能

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