# Bounded Future MS-TCN++ for Surgical Gesture Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/bounded-future-ms-tcn-for-surgical-gesture-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adam Goldbraikh,Netanell Avisdris,Carla M. Pugh,Shlomi Laufer |
| Citations | 7 |
| DOI | 10.1007/978-3-031-25066-8_22 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4321232161 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Adam Goldbraikh](https://scholariq.org/researchers/adam-goldbraikh/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Paper topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Human Motion and Animation](https://scholariq.org/topics/human-motion-and-animation/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.