Human Activity Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 195 papers with code (744 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
  21 Nov 2022 4 repositories listed
  Via BASAR, we find on-manifold adversarial samples are extremely deceitful and rather common in skeletal motions, in contrast to the common belief that adversarial samples only exist off-manifold.
• Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
  22 Aug 2017 4 repositories listed
  Human activity recognition (HAR) has become a popular topic in research because of its wide application.
• HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
  17 Nov 2022 3 repositories listed
  The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large energy consumption.
• Kernel Cross-Correlator
  12 Sep 2017 3 repositories listed
  Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.
• SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
  25 Jun 2025 2 repositories listed
  Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments.
• milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
  29 Jun 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this work, we propose milliFlow, a novel deep learning approach to estimate scene flow as complementary motion information for mmWave point cloud, serving as an intermediate level of features and directly benefiting…
• Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
  23 Jun 2023 2 repositories listed
  In this paper, we propose a novel strategy to combine publicly available datasets with the goal of learning a generalized HAR model that can be fine-tuned using a limited amount of labeled data on an unseen target…
• RHM: Robot House Multi-view Human Activity Recognition Dataset
  24 Apr 2023 2 repositories listed
  There are 14 classes with 6701 video clips for each view, making a total of 26804 video clips for the four views.
• SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
  16 Jul 2022 2 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  WiFi sensing has been evolving rapidly in recent years.
• Defending Black-box Skeleton-based Human Activity Classifiers
  9 Mar 2022 2 repositories listed
  Our method is featured by full Bayesian treatments of the clean data, the adversaries and the classifier, leading to (1) a new Bayesian Energy-based formulation of robust discriminative classifiers, (2) a new adversary…
• Transformer Networks for Data Augmentation of Human Physical Activity Recognition
  2 Sep 2021 2 repositories listed
  It improves generalization and reduces amount of annotated human activity data needed for training which reduces labour and time needed with the dataset.
• AdaRNN: Adaptive Learning and Forecasting of Time Series
  10 Aug 2021 2 repositories listed
  This paper proposes Adaptive RNNs (AdaRNN) to tackle the TCS problem by building an adaptive model that generalizes well on the unseen test data.
• B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows
  23 Jan 2021 2 repositories listed
  Human Activity Recognition (HAR), based on machine and deep learning algorithms is considered one of the most promising technologies to monitor professional and daily life activities for different categories of people…
• Learning Generalizable Physiological Representations from Large-scale Wearable Data
  9 Nov 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  To date, research on sensor-equipped mobile devices has primarily focused on the purely supervised task of human activity recognition (walking, running, etc), demonstrating limited success in inferring high-level health…
• A benchmark of data stream classification for human activity recognition on connected objects
  27 Aug 2020 2 repositories listed
  We measure both classification performance and resource consumption (runtime, memory, and power) of five usual stream classification algorithms, implemented in a consistent library, and applied to two real human…
• DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
  5 Aug 2020 2 repositories listed
  We introduce a dimension-adaptive pooling (DAP) layer that makes DNNs flexible and more robust to changes in sensor availability and in sampling rate.
• Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
  13 Apr 2020 2 repositories listed
  Recently, several attention mechanisms are proposed to handle the weakly labeled human activity data, which do not require accurate data annotation.
• Human Activity Recognition from Wearable Sensor Data Using Self-Attention
  17 Mar 2020 2 repositories listed
  In this regard, the existing recurrent or convolutional or their hybrid models for activity recognition struggle to capture spatio-temporal context from the feature space of sensor reading sequence.
• Human activity recognition from skeleton poses
  20 Aug 2019 2 repositories listed
  Human Action Recognition is an important task of Human Robot Interaction as cooperation between robots and humans requires that artificial agents recognise complex cues from the environment.
• Understanding and Improving Deep Neural Network for Activity Recognition
  18 May 2018 2 repositories listed
  After that, we extracted the significant features related to the activities and sent the features to the DNN-based fusion model, which improved the classification rate to 96.
• Semi-Supervised Online Structure Learning for Composite Event Recognition
  1 Mar 2018 2 repositories listed
  Online structure learning approaches, such as those stemming from Statistical Relational Learning, enable the discovery of complex relations in noisy data streams.
• A Probabilistic Logic Programming Event Calculus
  9 Apr 2012 2 repositories listed
  The input of our system is a set of time-stamped short-term activities (STA) detected on video frames.
• Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
  5 Jun 2025 1 repository listed
  After a few years of research in the field of through-the-wall radar (TWR) human activity recognition (HAR), I found that we seem to be stuck in the mindset of training on radar image data through neural network models.
• Label Leakage in Federated Inertial-based Human Activity Recognition
  27 May 2025 1 repository listed
  While prior work has shown that Federated Learning updates can leak sensitive information, label reconstruction attacks, which aim to recover input labels from shared gradients, have not yet been examined in the context…
• DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
  27 May 2025 1 repository listed
  Despite recognized limitations in modeling long-range temporal dependencies, Human Activity Recognition (HAR) has traditionally relied on a sliding window approach to segment labeled datasets.
• Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
  27 May 2025 1 repository listed
  Wearable human activity recognition has been shown to benefit from the inclusion of acoustic data, as the sounds around a person often contain valuable context.
• A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
  16 May 2025 1 repository listed
  By replacing standard non-linearities with polynomial activations, Polynomial Neural Networks (PNNs) are pivotal for applications such as privacy-preserving inference via Homomorphic Encryption (HE).
• MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
  15 May 2025 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  The growing use of smartphones and IoT devices necessitates efficient time-series analysis on resource-constrained hardware, which is critical for sensing applications such as human activity recognition and air quality…
• Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data
  10 May 2025 1 repository listed
  Current studies in Human Activity Recognition (HAR) primarily focus on the classification of activities through sensor data, while there is not much emphasis placed on recognizing the individuals performing these…
• TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition
  4 May 2025 1 repository listed
  To bridge this gap, we propose to exploit generative foundation models with pressure-specific HAR techniques.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.