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Eating and drinking gesture spotting and recognition using a novel adaptive segmentation technique and a gesture discrepancy measure

  • Published:2020-02 Issue: Volume:140 Page:112888
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Anderez Dario Ortega,Lotfi AhmadORCID,Pourabdollah Amir

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. Towards wearable sensing-based assessment of fluid intake;Amft,2010

2. Probabilistic parsing of dietary activity events;Amft,2007

3. A novel crossings-based segmentation approach for gesture recognition;Anderez,2018

4. A study on human activity recognition using accelerometer data from smartphones;Bayat;Procedia Computer Science,2014

5. Accelerometry-based activity recognition and assessment in rheumatic and musculoskeletal diseases;Billiet;Sensors,2016

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Input-Adaptation Approach for Human Activity Recognition;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26

2. Eating and Drinking Behavior Recognition Using Multimodal Fusion;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

3. Intake monitoring in free-living conditions: Overview and lessons we have learned;Appetite;2022-09

4. A Segmentation Scheme for Knowledge Discovery in Human Activity Spotting;IEEE Transactions on Cybernetics;2022-07

5. iHearken: Chewing sound signal analysis based food intake recognition system using Bi-LSTM softmax network;Computer Methods and Programs in Biomedicine;2022-06
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