Where Are the Best Positions of IMU Sensors for HAR? - Approach by a Garment Device with Fine-Grained Grid IMUs -

Author:

Tsukamoto Akihisa1ORCID,Yoshida Naoto2ORCID,Yonezawa Tomoko3ORCID,Mase Kenji1ORCID,Enokibori Yu1ORCID

Affiliation:

1. Nagoya University, Japan

2. Kogakuin University, Japan

3. Kansai University, Japan

Funder

JSPS KAKENHI

JST-Mirai Program

Publisher

ACM

Reference13 articles.

1. Ling Bao and Stephen  S. Intille . 2004. Activity Recognition from User-Annotated Acceleration Data . In Pervasive Computing, Alois Ferscha and Friedemann Mattern (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg , 1–17. Ling Bao and Stephen S. Intille. 2004. Activity Recognition from User-Annotated Acceleration Data. In Pervasive Computing, Alois Ferscha and Friedemann Mattern (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 1–17.

2. Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package)

3. Optimal Placement of Accelerometers for the Detection of Everyday Activities

4. HASC Challenge

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