Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations
Authors: Kezhen Chen, Kenneth Forbus
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Results on three public datasets illustrate its utility. |
| Researcher Affiliation | Academia | Kezhen Chen, Kenneth D. Forbus Northwestern University Kezhen Chen2021@u.northwestern.edu |
| Pseudocode | No | The paper describes the pipeline and steps in prose and with diagrams, but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement or link indicating that the source code for the described methodology is open-source or publicly available. |
| Open Datasets | Yes | We evaluated dynamic feature selection on the Florence 3D Action dataset (Seidenari et al. 2013) and The University of Texas at Dallas Multimodal Human Action Dataset (UTD-MHAD) was collected as part of research on human action recognition by Chen et al. (Chen et al. 2015). To further evaluate our method, we ran an experiment on the UTKinect-Action3D dataset (Xia, Chen, and Aggarwal 2012). |
| Dataset Splits | Yes | Cross-subject validation was used. We follow the leave one out cross validation protocol (LOOCV) (Seidenari et al. 2013) to better compare with other methods. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., CPU, GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions software components like Cog Sketch and QSRlib, but does not provide specific version numbers for any of its software dependencies. |
| Experiment Setup | Yes | For all experiments reported here, we used an assimilation threshold of 0.7. We used a probability cutoff of 0.2 in all experiments. The search stops either when a cutoff is reached (here, the cutoff is four optional features, which provides a reasonable tradeoff between accuracy and efficiency) |