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Portable/Wearable Smart Sensing System for Obstacle Detection, Environment Perception, and Motion Capture

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 4441

Special Issue Editor


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Guest Editor
University Grenoble Alpes, CEA, Leti, F-38000 Grenoble, France
Interests: data fusion; environment perception; mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

The development and commercialization of truly wearable or portable smart sensing systems for obstacle detection, environment perception, and motion capture takes advantage of the progress and development in micro- and nano-electronics, of the miniaturization, integration, and stringent power management of integrated systems, of cost drop, and of the progress in embedded multisensory data fusion and analysis technique.

Various application fields can be addressed, ranging from activity monitoring and fitness tracking, to rehabilitation, but also performance analysis, fall detection, obstacle detection for visually impaired and blind people or in reduced visibility conditions. These systems can even address other niche markets, such as small-size lightweight drones that require environment perception and reliably pose estimates to navigate safely in their environment.

This Special Issue will deal with the latest developments and innovative solutions in the field of smart portable/wearable systems for obstacle detection, environment perception, and motion capture. Both research papers and review articles will be considered. Submissions that cover several aspects of the topic (e.g., sensor technologies and embedded intelligence) will be greatly appreciated. Validation of the smart system in (nearly) real conditions will be a plus.

Dr. Suzanne Lesecq
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

16 pages, 695 KiB  
Article
Validity of Hololens Augmented Reality Head Mounted Display for Measuring Gait Parameters in Healthy Adults and Children with Cerebral Palsy
by Anne-Laure Guinet, Guillaume Bouyer, Samir Otmane and Eric Desailly
Sensors 2021, 21(8), 2697; https://doi.org/10.3390/s21082697 - 11 Apr 2021
Cited by 13 | Viewed by 3681
Abstract
Serious games are a promising approach to improve gait rehabilitation for people with gait disorders. Combined with wearable augmented reality headset, serious games for gait rehabilitation in a clinical setting can be envisaged, allowing to evolve in a real environment and provide fun [...] Read more.
Serious games are a promising approach to improve gait rehabilitation for people with gait disorders. Combined with wearable augmented reality headset, serious games for gait rehabilitation in a clinical setting can be envisaged, allowing to evolve in a real environment and provide fun and feedback to enhance patient’s motivation. This requires a method to obtain accurate information on the spatiotemporal gait parameters of the playing patient. To this end, we propose a new algorithm called HoloStep that computes spatiotemporal gait parameters using only the head pose provided by an augmented reality headset (Hololens). It is based on the detection of peaks associated to initial contact event, and uses a combination of locking distance, locking time, peak amplitude detection with custom thresholds for children with CP. The performance of HoloStep was compared during a walking session at comfortable speed to Zeni’s reference algorithm, which is based on kinematics and a full 3D motion capture system. Our study included 62 children with cerebral palsy (CP), classified according to Gross Motor Function Classification System (GMFCS) between levels I and III, and 13 healthy participants (HP). Metrics such as sensitivity, specificity, accuracy and precision for step detection with HoloStep were above 96%. The Intra-Class Coefficient between steps length calculated with HoloStep and the reference was 0.92 (GMFCS I), 0.86 (GMFCS II/III) and 0.78 (HP). HoloStep demonstrated good performance when applied to a wide range of gait patterns, including children with CP using walking aids. Findings provide important insights for future gait intervention using augmented reality games for children with CP. Full article
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