Activity Recognition

246 papers with code • 4 benchmarks • 29 datasets

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Libraries

Use these libraries to find Activity Recognition models and implementations

Activity-Biometrics: Person Identification from Daily Activities

sacrcv/activity-biometrics 26 Mar 2024

Furthermore, we extensively compare ABNet with existing works in person identification and demonstrate its effectiveness for activity-based biometrics across all five datasets.

0
26 Mar 2024

NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices

neufieldrobotics/neuflow 15 Mar 2024

Given the features of the input images extracted at different spatial resolutions, global matching is employed to estimate an initial optical flow on the 1/16 resolution, capturing large displacement, which is then refined on the 1/8 resolution with lightweight CNN layers for better accuracy.

29
15 Mar 2024

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

themaxiao/ditmos 14 Mar 2024

Enabling efficient and accurate deep neural network (DNN) inference on microcontrollers is non-trivial due to the constrained on-chip resources.

3
14 Mar 2024

Class-incremental Learning for Time Series: Benchmark and Evaluation

zqiao11/tscil 19 Feb 2024

Real-world environments are inherently non-stationary, frequently introducing new classes over time.

5
19 Feb 2024

OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery

longbai1006/ossar 10 Feb 2024

Existing algorithms dedicated to surgical activity recognition predominantly cater to pre-defined closed-set paradigms, ignoring the challenges of real-world open-set scenarios.

2
10 Feb 2024

AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search

deepinmotion/autogcn 2 Feb 2024

This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for Human Activity Recognition (HAR) using Graph Convolution Networks (GCNs).

1
02 Feb 2024

IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

ZikangLeng/IMUGPT 1 Feb 2024

With the emergence of generative AI models such as large language models (LLMs) and text-driven motion synthesis models, language has become a promising source data modality as well as shown in proof of concepts such as IMUGPT.

6
01 Feb 2024

MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition

john828/mifi 25 Jan 2024

Distracted driver activity recognition plays a critical role in risk aversion-particularly beneficial in intelligent transportation systems.

0
25 Jan 2024

WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing

huangshk/wimans 24 Jan 2024

WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in a non-intrusive and device-free manner, benefiting applications as diverse as smart homes and healthcare.

8
24 Jan 2024

A Review of Deep Learning Methods for Photoplethysmography Data

ngk03/dl_ppg_review 23 Jan 2024

In this review, we systematically reviewed papers that applied deep learning models to process PPG data between January 1st of 2017 and July 31st of 2023 from Google Scholar, PubMed and Dimensions.

5
23 Jan 2024