# An LSTM Recurrent Network for Step Counting

arXiv: https://arxiv.org/abs/1802.03486 · HTML: https://mlsanity.com/paper/1802.03486/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Feb 2018.

## Built on by (most cited first, 1 of 1)

- [Step Counting with Attention-based LSTM](https://mlsanity.com/paper/2211.13114/) (2022)

## Abstract (arXiv)

Smartphones with sensors such as accelerometer and gyroscope can be used as pedometers and navigators. In this paper, we propose to use an LSTM recurrent network for counting the number of steps taken by both blind and sighted users, based on an annotated smartphone sensor dataset, WeAllWork. The models were trained separately for sighted people, blind people with a long cane or a guide dog for Leave-One-Out training modality. It achieved 5% overcount and undercount rate.