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Sensor- And Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing

Sensor- And Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) (Paperback, 2022)

Daniel Roggen, Sozo Inoue, Md Atiqur Rahman Ahad (엮은이)
Springer
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Sensor- And Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing
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책 정보

· 제목 : Sensor- And Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) (Paperback, 2022) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 공학일반
· ISBN : 9789811903632
· 쪽수 : 264쪽
· 출판일 : 2023-05-05

목차

Chapter 1. Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data.- Chapter 2. Open-Source Data Collection for Activity Studies at Scale.- Chapter 3. Using LUPI to Improve Complex Activity Recognition.- Chapter 4. Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer.- Chapter 5. Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device.- Chapter 6. BoxerSense: Punch Detection and Classification Using IMUs.- Chapter 7. FootbSense: Soccer Moves Identification Using a Single IMU.- Chapter 8. A data-driven approach for online pre-impact fall detection with wearable devices.- Chapter 9. Modeling Reminder System for Dementia by Reinforcement Learning.- Chapter 10. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?.- Chapter 11. Identification of Food Packaging Activity Using MoCap Sensor Data.- Chapter 12. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features.- Chapter 13. Bento Packaging Activity Recognition Based on Statistical Features.- Chapter 14. Using k-Nearest-Neighbors Feature Selection for Activity Recognition.- Chapter 15. Bento Packaging Activity Recognition from Motion Capture Data.- Chapter 16. Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote.- Chapter 17. Summary of the Bento Packaging Activity Recognition Challenge.


저자소개

Daniel Roggen (엮은이)    정보 더보기
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도서 정보 제공 : Yes24(www.yes24.com), 알라딘(www.aladin.co.kr)

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