# Deep learning of biomimetic sensorimotor control for biomechanical human animation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-of-biomimetic-sensorimotor-control-for-biomechanical-human/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Masaki Nakada,Tao Zhou,Honglin Chen,Tomer Weiss,Demetri Terzopoulos |
| Citations | 59 |
| DOI | 10.1145/3197517.3201305 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2810695956 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Tao Zhou](https://scholariq.org/researchers/tao-zhou/)

## Paper primary topic

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)

## Paper topics

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Tactile and Sensory Interactions](https://scholariq.org/topics/tactile-and-sensory-interactions/)
- [Teleoperation and Haptic Systems](https://scholariq.org/topics/teleoperation-and-haptic-systems/)

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