INSPEX: design and integration of a portable/wearable smart spatial exploration system

The INSPEX H2020 project main objective is to integrate automotive-equivalent spatial exploration and obstacle detection functionalities into a portable/wearable multi-sensor, miniaturised, low power device. The INSPEX system will detect and localise in real-time static and mobile obstacles under various environmental conditions in 3D. Potential applications range from safer human navigation in reduced visibility, small robot/drone obstacle avoidance systems to navigation for the visually/mobility impaired, this latter being the primary use-case considered in the project

Leveraging the Potential of Digital Technology for Personalised Medicine

editorial reviewedDigital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this potential using data from three different cohort studies in Luxembourg, France and Germany. Data processing using artificial intelligence allows inferring disease symptoms and their progression. We found that digital devices, which collect large amounts of data during use, are highly accepted by patients. There are, however, challenges to legally collect patient-level data and process them using artificial intelligence for research and medical development in the European Union. This report discusses this topic from the perspectives of physicians, data scientists, patients, and lawyers.Validating DIGItal biomarkers for better personalized treatment of Parkinson’s Diseas

Parallelizing Binary Algebraic Operations on Fuzzy Quantities.

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Evaluation of chemometric techniques to select orthogonal chromatographic systems.

Several chemometric techniques were compared for their performance to determine the orthogonality and similarity between chromatographic systems. Pearson's correlation coefficient (r) based color maps earlier were used to indicate selectivity differences between systems. These maps, in which the systems were ranked according to decreasing or increasing dissimilarities observed in the weighted-average-linkage dendrogram, were now applied as reference method. A number of chemometric techniques were evaluated as potential alternative (visualization) methods for the same purpose. They include hierarchical clustering techniques (single, complete, unweighted-average-linkage, centroid and Ward's method), the Kennard and Stone algorithm, auto-associative multivariate regression trees (AAMRT), and the generalized pairwise correlation method (GPCM) with McNemar's statistical test. After all, the reference method remained our preferred technique to select orthogonal and identify similar systems.info:eu-repo/semantics/publishe

INSPEX::design and integration of a portable/wearable smart spatial exploration system

The INSPEX H2020 project main objective is to integrate automotive-equivalent spatial exploration and obstacle detection functionalities into a portable/wearable multi-sensor, miniaturised, low power device. The INSPEX system will detect and localise in real-time static and mobile obstacles under various environmental conditions in 3D. Potential applications range from safer human navigation in reduced visibility, small robot/drone obstacle avoidance systems to navigation for the visually/mobility impaired, this latter being the primary use-case considered in the project

INSPEX: design and integration of a portable/wearable smart spatial exploration system

International audienceThe INSPEX H2020 project main objective is to integrate automotive-equivalent spatial exploration and obstacle detection functionalities into a portable/ wearable multi-sensor, miniaturised, low power device. The INSPEX system will be used for 3D real-time detection, location and warning of obstacles under all environmental conditions in indoor and outdoor environments with static and mobile obstacles. Potential applications range from safer human navigation in reduced visibility conditions , small robot/drone obstacle avoidance systems to navigation for the visually/mobility impaired, this latter being the primary use-case considered in the project

INSPEX: Integrated Smart Spatial Exploration System

International audienceThere has been a very large amount of work done in recent years on obstacle avoidance systems for autonomous vehicles. To detect different types of obstacles across the full range of possible lighting and weather conditions, these obstacle detection systems typically combine multiple subsystems including LiDAR, radar, IR and optical. The data from these subsystems is integrated and combined with vehicle orientation (typically an IMU and compass) and navigation subsystems. As the image above shows, these systems are typically large, heavy and have high power consumption.The question the INSPEX partners have asked themselves is “what if we could miniaturise an obstacle detection system like this and reduce its power so that it could be portable/wearable?” This is very challenging but it would open many new applications in, for example, assistive guidance for the visually impaired, human guidance in low visibility conditions (night, smoke, fog) obstacle detection for small or humanoid robots, and small drone obstacle detection for obstacle avoidance procedures. This encapsulates the objective of INSPEX: to combine LiDAR, UWB RF radar and ultrasonic range sensing with an IMU, environmental sensing, signal and data processing, wireless communications, energy harvesting and user interface; all in a miniature, low power, small size, light weight system, with a flexible system integration methodology that will allow the INSPEX smart spatial exploration system to be applied to a range of different application areas.As a demonstrator, INSPEX partners have chosen an application of obstacle detection for the visually impaired and blind (VIB) community with the objective of integrating the INSPEX system into a standard white cane. This will allow the cane to detect various kind of obstacles (shape, material, colour, height) and alert the user of their location using 3D spatial audio feedback. The cane will also be able to interact with the wider Internet-of-Things environment surrounding the user. Other potential application domains for the INSPEX smart spatial exploration system will also benefit from INSPEX system and submodules low cost and low-power. In particular, drones and robots might adopt the INSPEX system as an add-on system to sense their surroundings at low cost and with low power budget