mlsanityData to 14 Oct 2026

Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review

arXiv 2401.11790 ↗First posted 22 Jan 2024cs.CVcited by 6

Not on the map. Why?

Abstract (arXiv)

As the percentage of elderly people in developed countries increases worldwide, the healthcare of this collective is a worrying matter, especially if it includes the preservation of their autonomy. In this direction, many studies are being published on Ambient Assisted Living (AAL) systems, which help to reduce the preoccupations raised by the independent living of the elderly. In this study, a systematic review of the literature is presented on fall detection and Human Activity Recognition (HAR) for the elderly, as the two main tasks to solve to guarantee the safety of elderly people living alone. To address the current tendency to perform these two tasks, the review focuses on the use of Deep Learning (DL) based approaches on computer vision data. In addition, different collections of data like DL models, datasets or hardware (e.g. depth or thermal cameras) are gathered from the reviewed studies and provided for reference in future studies. Strengths and weaknesses of existing approaches are also discussed and, based on them, our recommendations for future works are provided.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 53 of its 296 references that are in the map. First posted on arXiv 22 Jan 2024.

Builds on

53 of 296 references.

References · 53

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  5. 2017Mask R-CNNcited by 7,277
  6. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  7. 2022Generative Adversarial Networkscited by 5,627
  8. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  9. 2014Going Deeper with Convolutionscited by 4,241
  10. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,845
  11. 2017Quo Vadis, Action Recognition? A New Model and the Kinetics Datasetcited by 3,270
  12. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
38 more
  1. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
  2. 2017The Kinetics Human Action Video Datasetcited by 1,909
  3. 2018SlowFast Networks for Video Recognitioncited by 1,867
  4. 2021Is Space-Time Attention All You Need for Video Understanding?cited by 1,620
  5. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,304
  6. 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,162
  7. 2021Video Swin Transformercited by 1,091
  8. 2016SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model sizecited by 1,060
  9. 2016Temporal Segment Networks: Towards Good Practices for Deep Action Recognitioncited by 902
  10. 2016NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysiscited by 686
  11. 2019MediaPipe: A Framework for Building Perception Pipelinescited by 583
  12. 2019NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understandingcited by 533
  13. 2019PointRend: Image Segmentation as Renderingcited by 440
  14. 2016RMPE: Regional Multi-person Pose Estimationcited by 340
  15. 2018A Short Note about Kinetics-600cited by 333
  16. 2021Revisiting Skeleton-based Action Recognitioncited by 257
  17. 2022AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Timecited by 200
  18. 2015Visual Semantic Role Labelingcited by 190
  19. 2020Temporal Pyramid Network for Action Recognitioncited by 163
  20. 2020TAM: Temporal Adaptive Module for Video Recognitioncited by 139
  21. 2014Cross-view Action Modeling, Learning and Recognitioncited by 134
  22. 2018PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Modelcited by 133
  23. 2018iCAN: Instance-Centric Attention Network for Human-Object Interaction Detectioncited by 127
  24. 20182D/3D Pose Estimation and Action Recognition using Multitask Deep Learningcited by 103
  25. 2017PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understandingcited by 101
  26. 2016DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Modelcited by 96
  27. 2019Deep Learning vs. Traditional Computer Visioncited by 94
  28. 2020A Short Note on the Kinetics-700-2020 Human Action Datasetcited by 92
  29. 2019Oops! Predicting Unintentional Action in Videocited by 82
  30. 2018Pose Flow: Efficient Online Pose Trackingcited by 80
  31. 2014PCANet: A Simple Deep Learning Baseline for Image Classification?cited by 70
  32. 2020Asynchronous Interaction Aggregation for Action Detectioncited by 65
  33. 2018Learning to Detectcited by 63
  34. 2020ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applicationscited by 29
  35. 2014Histogram of Oriented Principal Components for Cross-View Action Recognitioncited by 27
  36. 2020ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderlycited by 26
  37. 2019FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networkscited by 15
  38. 2017DCFNet: Discriminant Correlation Filters Network for Visual Trackingcited by 11

50 most cited of 53 All 53 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 1.

6 papers.

  1. 2025SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognitioncited by 19
  2. 2025Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarioscited by 1
  3. 2025A Lightweight 3D-CNN for Event-Based Human Action Recognition with Privacy-Preserving Potentialcited by 1
  4. 2025Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognitioncited by 0
  5. 2025OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regionscited by 0
  6. 2026Summary of the Unusual Activity Recognition Challenge for Developmental Disability Supportcited by 0