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- Caro-Romero, J. R., et al.
(författare)
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A Neural Network for Stance Phase Detection in Smart Cane Users
- 2019
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Ingår i: Lecture Notes in Computer Science, vol 11506. - Cham : Springer Verlag. - 9783030205201 ; , s. 310-321
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Konferensbidrag (refereegranskat)abstract
- Persons with disabilities often rely on assistive devices to carry on their Activities of Daily Living. Deploying sensors on these devices may provide continuous valuable knowledge on their state and condition. Canes are among the most frequently used assistive devices, regularly employed for ambulation by persons with pain on lower limbs and also for balance. Load on canes is reportedly a meaningful condition indicator. Ideally, it corresponds to the time cane users support weight on their lower limb (stance phase). However, in reality, this relationship is not straightforward. We present a Multilayer Perceptron to reliably predict the Stance Phase in cane users using a simple support detection module on commercial canes. The system has been successfully tested on five cane users in care facilities in Spain. It has been optimized to run on a low cost microcontroller.
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| 3. |
- Neshat, M., et al.
(författare)
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Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method
- 2024
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Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 362
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Tidskriftsartikel (refereegranskat)abstract
- Hybrid offshore renewable energy platforms have been proposed to optimise power production and reduce the levelised cost of energy by integrating or co-locating several renewable technologies. One example is a hybrid wave-wind energy system that combines offshore wind turbines with wave energy converters (WECs) on a single floating foundation. The design of such systems involves multiple parameters and performance measures, making it a complex, multi-modal, and expensive optimisation problem. This paper proposes a novel, robust and effective multi-objective swarm optimisation method (DMOGWA) to provide a design solution that best compromises between maximising WEC power output and minimising the effect on wind turbine nacelle acceleration. The proposed method uses a chaotic adaptive search strategy with a dynamic archive of non-dominated solutions based on diversity to speed up the convergence rate and enhance the Pareto front quality. Furthermore, a modified exploitation technique (Discretisation Strategy) is proposed to handle the large damping and spring coefficient of the Power Take-off (PTO) search space. To evaluate the efficiency of the proposed method, we compare the DMOGWA with four well-known multi-objective swarm intelligence methods (MOPSO, MALO, MODA, and MOGWA) and four popular evolutionary multi-objective algorithms (NSGA-II, MOEA/D, SPEA-II, and PESA-II) based on four potential deployment sites on the South Coast of Australia. The optimisation results demonstrate the dominance of the DMOGWA compared with the other eight methods in terms of convergence speed and quality of solutions proposed. Furthermore, adjusting the hybrid wave-wind model's parameters (WEC design and PTO parameters) using the proposed method (DMOGWA) leads to a considerably improved power output (average proximate boost of 138.5%) and a notable decline in wind turbine nacelle acceleration (41%) throughout the entire operational spectrum compared with the other methods. This improvement could lead to millions of dollars in additional income per year over the lifespan of hybrid offshore renewable energy platforms.
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| 4. |
- Santaliestra-Pası´as, AM, et al.
(författare)
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Increased sedentary behaviour is associated with unhealthy dietary patterns in European adolescents participating in the HELENA study
- 2014
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Ingår i: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 0954-3007 .- 1476-5640. ; 68:3, s. 300-308
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND/OBJECTIVES: To assess dietary patterns (DPs) in European adolescents and to examine their relationship withseveral indicators of sedentary behaviour.SUBJECTS/METHODS: A multinational cross-sectional study was carried out in 2202 adolescents (45.4% boys) aged 12.5–17.5 years. A self-reported questionnaire with information on sedentary behaviours, separately for weekdays and weekend days, and two non-consecutive 24 h-recalls were used. Principal component analysis was used to obtain DPs, and linear regression examined the association between DPs scores and sedentary behaviour.RESULTS: Four DPs for boys (‘plant based’, ‘snacking’, ‘breakfast’ and ‘health conscious’) and five DPs for girls (‘confectionary and snacking’, ‘plant based’, ‘breakfast’, ‘animal protein’ and ‘health conscious’) were obtained. Boys who spent 44 h/day watching television (TV) had lower adherence to the ‘plant based’, ‘breakfast’ and ‘health conscious’ DPs, and higher adherence to the ‘snacking’ DP. Higher computer use and internet use for recreational reason were associated with higher adherence to the ‘snacking’ DP. In girls, TV viewing and using internet for recreational reasons for 44 h/day was associated with higher adherence to the ‘confectionary and snacking’ and lower adherence with ‘health conscious’ DP. Also, studying between 2 and 4 h during weekend days was associated with lower adherence to the ‘snacking’ and with higher adherence to the ‘plant based’ and ‘breakfast’ DPs.CONCLUSION: Adolescents’ DPs are related with the time spent in several sedentary behaviours. Such findings may help to generate interventions focusing on decreasing unhealthy dietary habits and specific sedentary behaviours.
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