The presence of fatigue has been shown to modify running biomechanics. Overall in terms of gender, women are at lower risk than men for sustaining running-related injuries, although it depends on the factors taken into account. One possible reason for these differences in the injury rate and location might be the dissimilar running patterns between men and women. The purpose of this study was to determine the effect of fatigue and gender on the kinematic and ground reaction forces (GRF) parameters in recreational runners. Fifty-seven participants (28 males and 29 females) had kinematic and GRF variables measured while running at speed of 3.3 m s−1 before and after a fatigue test protocol. The fatigue protocol included (1) a running Course-Navette test, (2) running up and down a flight of stairs for 5 min, and (3) performance of alternating jumps on a step (five sets of 1 minute each with 30 resting seconds between the sets). Fatigue decreased dorsiflexion (14.24 ± 4.98° in pre-fatigue and 12.65 ± 6.21° in fatigue condition, p < 0.05) at foot strike phase in females, and plantar flexion (−19.23 ± 4.12° in pre-fatigue and −18.26 ± 5.31° in fatigue condition, p < 0.05) at toe-off phase in males. These changes led to a decreased loading rate (88.14 ± 25.82 BW/s in pre-fatigue and 83.97 ± 18.83 BW/s in fatigue condition, p < 0.05) and the impact peak in females (1.95 ± 0.31 BW in pre-fatigue and 1.90 ± 0.31 BW in fatigue condition, p < 0.05), and higher peak propulsive forces in males (−0.26 ± 0.04 BW in pre-fatigue and −0.27 ± 0.05 BW in fatigue condition, p < 0.05) in the fatigue condition. It seems that better responses to impact under a fatigue condition are observed among women. Further studies should confirm whether these changes represent a strategy to optimize shock attenuation, prevent running injuries and improve running economy.

Emotion recognition is crucial to increase user acceptance in autonomous driving. SUaaVE project aims to formulate ALFRED, defined as the human-centered artificial intelligence to humanize the vehicle actions by estimating the emotions felt by the passengers and managing preventive or corrective actions, providing tailored support. This paper presents the development of an emotional model able to estimate the values of valence (how negative or positive a stimulus is) and arousal (the level of excitement) from the analysis of physiological signals. The model has been validated with an experimental test simulating different driving scenarios of autonomous vehicles. The results found that driving mode can influence the emotional state felt by the passengers. Further exploration of this emotional model is therefore advised to detect on board experiences and to lead to new applications in the framework of empathic vehicles.

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Here two real case studies of design and development with different grades of complexity are presented. A medical instrument prototype of a pneumatic retraction and holding system for surgical procedures and an electromedical device for non-invasive glucose measuring developed both from a TRL 4 to reach a TRL 7. The products were designed in the frame time of six months and fifteen months, respectively. The medical instrument was developed using a conventional Lean project and engineering design approach. Meanwhile, the electromedical device was created using Lean project management alongside a human-centred design and person-oriented innovation approaches. Based on the Lean approach, both products were built on a common ground project development path that the IBV follows. Besides, both projects had a common limiting factor, the need to meet a very demanding schedule of deadlines. The paper details the development stages followed in both products to compare how the human-centred design methods are integrated and could have been incorporated in the medical instrument case. Based on the Institute of Biomechanics’ (IBV) background in project management in the design, development and innovation of medical devices, this paper seeks to share applied knowledge on successfully implementing human factors plan and ergonomics in the engineering design process.

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