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Technical Committee on Life Intelligence and Office Information Systems (LOIS) (Searched in: 2022)
Search Results: Keywords 'from:2022-09-13 to:2022-09-13'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 13:10 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
[Invited Talk]
TBD Motegi Manabu (Takushoku Univ) |
[more] | |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 13:40 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
Video Anomaly Detection Method using Deep Learning Models and Crowd Workers Ryuya Itano, Tomoya Nohara, Takahiro Koita (Doshisha Univ.)  LOIS2022-10 IE2022-32 EMM2022-38 |
In recent years, the number of surveillance cameras installed has been increasing due to the spread of IoT. However, thi... [more] | LOIS2022-10 IE2022-32 EMM2022-38 pp.1-6 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 14:00 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
Study on eye tracking based skill level estimation for assisting collaborative work Ryohei Saijo, Hiromu Miyashita, Shohei Matsuo (NTT) LOIS2022-11 IE2022-33 EMM2022-39 |
In collaborative work among multiple workers with different skill levels, communication discrepancies may occur due to d... [more] | LOIS2022-11 IE2022-33 EMM2022-39 pp.7-12 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 14:20 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
An investigation of video synchronization for multiple remote audiences participating in a live-streamed event Takayuki Kurozumi, Yuka Serizawa, Keisuke Hasegawa, Shinji Fukatsu (NTT) LOIS2022-12 IE2022-34 EMM2022-40 |
In recent years, due in part to the Corona Disaster, there has been an increase in the number of opportunities to watch ... [more] | LOIS2022-12 IE2022-34 EMM2022-40 pp.13-18 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 15:30 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
The efficient AI System for Rating Facial Expressions for the purpose of Predicting Drivers Sleepiness Tomoya Kubo (Okayama Prefectural Univ. Graduate School), Kazutami Arimoto, Tomoyuki Yokogawa, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki Univ. of Medical Welfare), Kagehisa Kajiwara (MURAKAMI CORPORATION) LOIS2022-13 IE2022-35 EMM2022-41 |
In a driver monitoring system, a 3D convolutional neural network (3D CNN) has been used as a neural network (NN) to eval... [more] | LOIS2022-13 IE2022-35 EMM2022-41 pp.19-24 |
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