# Anticipation through Head Pose Estimation: a preliminary study

arXiv: https://arxiv.org/abs/2408.05516 · HTML: https://mlsanity.com/paper/2408.05516/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 12 of its 20 references that are in the map.
- First posted on arXiv 10 Aug 2024.

## Builds on (most cited first, 12 of 12)

- [Microsoft COCO: Common Objects in Context](https://mlsanity.com/paper/1405.0312/) (2014)
- [You Only Look Once: Unified, Real-Time Object Detection](https://mlsanity.com/paper/1506.02640/) (2015)
- [Objects as Points](https://mlsanity.com/paper/1904.07850/) (2019)
- [Anticipative Video Transformer](https://mlsanity.com/paper/2106.02036/) (2021)
- [RED: Reinforced Encoder-Decoder Networks for Action Anticipation](https://mlsanity.com/paper/1707.04818/) (2017)
- [Future Transformer for Long-term Action Anticipation](https://mlsanity.com/paper/2205.14022/) (2022)
- [Memory-and-Anticipation Transformer for Online Action Understanding](https://mlsanity.com/paper/2308.07893/) (2023)
- [Object-centric Video Representation for Long-term Action Anticipation](https://mlsanity.com/paper/2311.00180/) (2023)
- [Action Anticipation: Reading the Intentions of Humans and Robots](https://mlsanity.com/paper/1802.02788/) (2018)
- [Action Anticipation with Goal Consistency](https://mlsanity.com/paper/2306.15045/) (2023)
- [HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty](https://mlsanity.com/paper/2111.01440/) (2021)
- [Streaming egocentric action anticipation: An evaluation scheme and approach](https://mlsanity.com/paper/2306.16682/) (2023)

## Abstract (arXiv)

The ability to anticipate others' goals and intentions is at the basis of human-human social interaction. Such ability, largely based on non-verbal communication, is also a key to having natural and pleasant interactions with artificial agents, like robots. In this work, we discuss a preliminary experiment on the use of head pose as a visual cue to understand and anticipate action goals, particularly reaching and transporting movements. By reasoning on the spatio-temporal connections between the head, hands and objects in the scene, we will show that short-range anticipation is possible, laying the foundations for future applications to human-robot interaction.