Abstract
Mental health has received increasing attention in recent years, and a correlation between social interaction during eating and mental health noted. The purpose of this research is to determine if wearable devices can be used to recognize whether a person is eating alone or has company. Using a watch-type device and smartphone, the data, while eating in daily life, was collected. Using this data, we were able to recognize whether a person is eating alone or has company with an accuracy of 96.3%.
| Original language | English |
|---|---|
| Title of host publication | 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-2 |
| Number of pages | 2 |
| Volume | 2018-January |
| ISBN (Electronic) | 9784907626310 |
| DOIs | |
| Publication status | Published - 2018 Apr 2 |
| Event | 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, Japan Duration: 2017 Oct 3 → 2017 Oct 5 |
Other
| Other | 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 |
|---|---|
| Country | Japan |
| City | Toyama |
| Period | 17/10/3 → 17/10/5 |
Fingerprint
Keywords
- eating alone
- random forest
- smartphone
- watch-type device
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Safety, Risk, Reliability and Quality
Cite this
Recognizing whether a person is eating alone or has company by using wearable devices. / Kiriu, Kazuki; Ochiai, Keiichi; Inagaki, Akiya; Yamamoto, Naoki; Fukazawa, Yusuke; Kimoto, Masatoshi; Okimura, Tsukasa; Terasawa, Yuuri; Maeda, Takaki; Ota, Jun.
2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Recognizing whether a person is eating alone or has company by using wearable devices
AU - Kiriu, Kazuki
AU - Ochiai, Keiichi
AU - Inagaki, Akiya
AU - Yamamoto, Naoki
AU - Fukazawa, Yusuke
AU - Kimoto, Masatoshi
AU - Okimura, Tsukasa
AU - Terasawa, Yuuri
AU - Maeda, Takaki
AU - Ota, Jun
PY - 2018/4/2
Y1 - 2018/4/2
N2 - Mental health has received increasing attention in recent years, and a correlation between social interaction during eating and mental health noted. The purpose of this research is to determine if wearable devices can be used to recognize whether a person is eating alone or has company. Using a watch-type device and smartphone, the data, while eating in daily life, was collected. Using this data, we were able to recognize whether a person is eating alone or has company with an accuracy of 96.3%.
AB - Mental health has received increasing attention in recent years, and a correlation between social interaction during eating and mental health noted. The purpose of this research is to determine if wearable devices can be used to recognize whether a person is eating alone or has company. Using a watch-type device and smartphone, the data, while eating in daily life, was collected. Using this data, we were able to recognize whether a person is eating alone or has company with an accuracy of 96.3%.
KW - eating alone
KW - random forest
KW - smartphone
KW - watch-type device
UR - http://www.scopus.com/inward/record.url?scp=85049610734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049610734&partnerID=8YFLogxK
U2 - 10.23919/ICMU.2017.8330088
DO - 10.23919/ICMU.2017.8330088
M3 - Conference contribution
VL - 2018-January
SP - 1
EP - 2
BT - 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -