ArticleSensors (Basel, Switzerland)2021
Smartphone-Based Inertial Odometry for Blind Walkers.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- PALMS+: Modular Image-Based Floor Plan Localization Leveraging Depth Foundation Model.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2026Article
- An Improved Step Detection Algorithm for Indoor Navigation Problems with Pre-Determined Types of Activity.Sensors (Basel, Switzerland) · 2025Article
- EgoFall: Real-Time Privacy-Preserving Fall Risk Assessment With a Single On-Body Tracking Camera.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- All the Way There and Back: Inertial-Based, Phone-in-Pocket Indoor Wayfinding and Backtracking Apps for Blind Travelers.ACM transactions on accessible computing · 2024Article
- PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones.International Conference on Indoor Positioning and Indoor Navigation : [proceedings]. International Conference on Indoor Positioning and Indoor Navigation · 2024Article
- Robust Indoor Pedestrian Backtracking Using Magnetic Signatures and Inertial Data.International Conference on Indoor Positioning and Indoor Navigation : [proceedings]. International Conference on Indoor Positioning and Indoor Navigation · 2024Article
- Step Length Estimation for Blind Walkers.Computers helping people with special needs : ... International Conference, ICCHP ... : proceedings. International Conference on Computers Helping People with Special Needs · 2024Article
- Experiments with RouteNav, A Wayfinding App for Blind Travelers in a Transit Hub.ASSETS. Annual ACM Conference on Assistive Technologies · 2023Article
- Step Length Is a More Reliable Measurement Than Walking Speed for Pedestrian Dead-Reckoning.International Conference on Indoor Positioning and Indoor Navigation : [proceedings]. International Conference on Indoor Positioning and Indoor Navigation · 2023Article
- Estimation of Spatio-Temporal Parameters of Gait and Posture of Visually Impaired People Using Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- Multi-Sensor Data Fusion Solutions for Blind and Visually Impaired: Research and Commercial Navigation Applications for Indoor and Outdoor Spaces.Sensors (Basel, Switzerland) · 2023Review
- A Lightweight Approach to Localization for Blind and Visually Impaired Travelers.Sensors (Basel, Switzerland) · 2023Article
- Advances in Indoor Positioning and Indoor Navigation.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Pedestrian tracking systems implemented in regular smartphones may provide a convenient mechanism for wayfinding and backtracking for people who are blind. However, virtually all existing studies only considered sighted participants, whose gait pattern may be different from that of blind walkers using a long cane or a dog guide. In this contribution, we present a comparative assessment of several algorithms using inertial sensors for pedestrian tracking, as applied to data from WeAllWalk, the only published inertial sensor dataset collected indoors from blind walkers. We consider two situations of interest. In the first situation, a map of the building is not available, in which case we assume that users walk in a network of corridors intersecting at 45° or 90°. We propose a new two-stage turn detector that, combined with an LSTM-based step counter, can robustly reconstruct the path traversed. We compare this with RoNIN, a state-of-the-art algorithm based on deep learning. In the second situation, a map is available, which provides a strong prior on the possible trajectories. For these situations, we experiment with particle filtering, with an additional clustering stage based on mean shift. Our results highlight the importance of training and testing inertial odometry systems for assisted navigation with data from blind walkers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.