Piecewise Parametric Interpolation for Temporal Compression of Multijoint Movement Trajectories

2006 ◽  
Vol 10 (1) ◽  
pp. 199-206 ◽  
Author(s):  
R.A. Foulds
2021 ◽  
Author(s):  
Pascual LÓPEZ-LÓPEZ ◽  
Arturo M PERONA ◽  
Olga EGEA-CASAS ◽  
Jon ETXEBARRIA MORANT ◽  
Vicente URIOS

Abstract Cutting-edge technologies are extremely useful to develop new workflows in studying ecological data, particularly to understand animal behaviour and movement trajectories at the individual level. Although parental care is a well-studied phenomenon, most studies have been focused on direct observational or video recording data, as well as experimental manipulation. Therefore, what happens out of our sight still remains unknown. Using high-frequency GPS/GSM dataloggers and tri-axial accelerometers we monitored 25 Bonelli’s eagles (Aquila fasciata) during the breeding season to understand parental activities from a broader perspective. We used recursive data, measured as number of visits and residence time, to reveal nest attendance patterns of biparental care with role specialization between sexes. Accelerometry data interpreted as the Overall Dynamic Body Acceleration, a proxy of energy expenditure, showed strong differences in parental effort throughout the breeding season and between sexes. Thereby, males increased substantially their energetic requirements, due to the increased workload, while females spent most of the time on the nest. Furthermore, during critical phases of the breeding season, a low percentage of suitable hunting spots in eagles’ territories led them to increase their ranging behaviour in order to find food, with important consequences in energy consumption and mortality risk. Our results highlight the crucial role of males in raptor species exhibiting biparental care. Finally, we exemplify how biologging technologies are an adequate and objective method to study parental care in raptors as well as to get deeper insight into breeding ecology of birds in general.


2021 ◽  
Vol 5 (2) ◽  
pp. 1-4
Author(s):  
Lucie Klus ◽  
Roman Klus ◽  
Elena Simona Lohan ◽  
Carlos Granell ◽  
Jukka Talvitie ◽  
...  

2021 ◽  
Author(s):  
Ju Won Choi ◽  
Ezgi Sahin ◽  
Byoung-Uk Sohn ◽  
George F. R. Chen ◽  
Doris K. T. Ng ◽  
...  
Keyword(s):  

2018 ◽  
Vol 34 (S1) ◽  
pp. 16-17
Author(s):  
Martina Andellini ◽  
Francesco Faggiano ◽  
Roxana di Mauro ◽  
Pietro Derrico ◽  
Matteo Ritrovato

Introduction:The purpose of this study is to gather evidence on safety and overall effectiveness of three alternative technologies for gait rehabilitation in diplegic children with Cerebral Palsy: robotic, conventional and joint conventional and robotic gait training.Methods:A new methodology, decision-oriented health technology assessment (DoHTA), was applied to assess the technology on clinical, technical, organizational, economic, social and ethical, legal and safety domains. This method, conceived as a hospital-based HTA tool for supporting the introduction of innovative technologies, has been implemented merging the EUnetHTA Core Model® with the Multi-Criteria Decision Analysis. In particular, the general items of the EUnetHTA Core Model® are re-formulated as performance indicators and re-placed along a decision tree structure that, from the one hand, respects the original top-down design of the EUnetHTA model (growing level of detail from domains to issues) and, from the other hand, allows obtaining a quantitative evaluation of each identified performance indicator.Results:The multiple indicators, which have been identified for the seven domains, play important and different roles in the alternative technologies evaluation. DoHTA results showed that robotic system offers the possibility to control more accurately the exerted forces and movement trajectories than the traditional therapy. It gives the possibility to measure the task performances parameters and to receive the patient feedback simultaneously. To carry out robotic gait rehabilitation fewer therapists are required compared with the conventional therapy, resulting in lower therapists’ physical workload.Conclusions:Despite the great perspectives that robotics offer to motor rehabilitation, it seems that robotic gait training could not provide greater benefits in terms of motor and functional recovery compared to the conventional therapy. Preliminary results, supported by most recent literature evidence, lead to the hypothesis that joint use of robotic and conventional therapy can produce better clinical outcomes than the separate use of the two rehabilitation techniques.


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