  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.
