research-article

Combining embedded accelerometers with computer vision for recognizing food preparation activities

Authors:

Sebastian Stein,

Stephen J. McKennaAuthors Info & Claims

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Pages 729 - 738

https://doi.org/10.1145/2493432.2493482

Published: 08 September 2013 Publication History

Abstract

This paper introduces a publicly available dataset of complex activities that involve manipulative gestures. The dataset captures people preparing mixed salads and contains more than 4.5 hours of accelerometer and RGB-D video data, detailed annotations, and an evaluation protocol for comparison of activity recognition algorithms. Providing baseline results for one possible activity recognition task, this paper further investigates modality fusion methods at different stages of the recognition pipeline: (i) prior to feature extraction through accelerometer localization, (ii) at feature level via feature concatenation, and (iii) at classification level by combining classifier outputs. Empirical evaluation shows that fusing information captured by these sensor types can considerably improve recognition performance.

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Cited By

Liu YSun YChen ZFeng CZhu K(2025)Global Spatial-Temporal Information Encoder-Decoder Based Action Segmentation in Untrimmed VideoTsinghua Science and Technology10.26599/TST.2024.901004130:1(290-302)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2024.9010041
Wang TChen KZheng ZGuo JZhao XZhang S(2024)PrivShieldROS: An Extended Robot Operating System Integrating Ethereum and Interplanetary File System for Enhanced Sensor Data PrivacySensors10.3390/s2410324124:10(3241)Online publication date: 20-May-2024
https://doi.org/10.3390/s24103241
Shen ZXu RZhang YQin FGe RWang CToyoura M(2024)Boundary-Match U-Shaped Temporal Convolutional Network for Vulgar Action SegmentationMathematics10.3390/math1206089912:6(899)Online publication date: 18-Mar-2024
https://doi.org/10.3390/math12060899
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Index Terms

Combining embedded accelerometers with computer vision for recognizing food preparation activities
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene understanding
        Vision for robotics
  2. Machine learning
2. Social and professional topics

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Published In

cover image ACM Conferences

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

September 2013

846 pages

ISBN:9781450317702

DOI:10.1145/2493432

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

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Published: 08 September 2013

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UbiComp '13

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SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

Acceptance Rates

UbiComp '13 Paper Acceptance Rate 92 of 394 submissions, 23%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Liu YSun YChen ZFeng CZhu K(2025)Global Spatial-Temporal Information Encoder-Decoder Based Action Segmentation in Untrimmed VideoTsinghua Science and Technology10.26599/TST.2024.901004130:1(290-302)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2024.9010041
Wang TChen KZheng ZGuo JZhao XZhang S(2024)PrivShieldROS: An Extended Robot Operating System Integrating Ethereum and Interplanetary File System for Enhanced Sensor Data PrivacySensors10.3390/s2410324124:10(3241)Online publication date: 20-May-2024
https://doi.org/10.3390/s24103241
Shen ZXu RZhang YQin FGe RWang CToyoura M(2024)Boundary-Match U-Shaped Temporal Convolutional Network for Vulgar Action SegmentationMathematics10.3390/math1206089912:6(899)Online publication date: 18-Mar-2024
https://doi.org/10.3390/math12060899
Kaseris MKostavelis IMalassiotis S(2024)A Comprehensive Survey on Deep Learning Methods in Human Activity RecognitionMachine Learning and Knowledge Extraction10.3390/make60200406:2(842-876)Online publication date: 18-Apr-2024
https://doi.org/10.3390/make6020040
Xing ZFeng QChen HDai QHu HXu HWu ZJiang Y(2024)A Survey on Video Diffusion ModelsACM Computing Surveys10.1145/369641557:2(1-42)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3696415
Tanaka RSuzuki TFujii KLienhart RMoeslund TSaito H(2024)3D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation ApproachProceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports10.1145/3689061.3689077(17-26)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3689061.3689077
Liu XHao CYu ZYue HYang J(2024)From Recognition to Prediction: Leveraging Sequence Reasoning for Action AnticipationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/368747420:11(1-19)Online publication date: 28-Aug-2024
https://dl.acm.org/doi/10.1145/3687474
Maekawa TYoshimura NMorales JHara TKostakos VKay JHoang T(2024)Brief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the DatasetCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677597(116-120)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677597
Hou WLi GTian YHu D(2024)Toward Long Form Audio-Visual Video UnderstandingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/367207920:9(1-26)Online publication date: 7-Jun-2024
https://dl.acm.org/doi/10.1145/3672079
Khanna SGoyal SChattopadhyay CKundu S(2024)CookingINWild: Unleashing the Challenges of Indian Cuisine Cooking Videos for Action RecognitionProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632429(222-226)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1145/3632410.3632429
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