Balance and gait impairments are among the most disabling consequences of neurological and age-related conditions. They affect millions of people in Europe and worldwide, limiting independence, reducing participation in society, and increasing the risk of falls and fall-related injuries. Falls are a leading cause of hospitalization, long-term care admission, and loss of autonomy, making balance disorders a critical public health and societal challenge.
Current solutions, such as canes or walkers, provide partial support, although there is room for improvement. In addition to requiring use of the hands, these devices can be bulky, stigmatizing, or insufficient in dynamic and real-life environments. Rehabilitation can improve motor control, but the effectiveness is limited by the nature of the impairments: some conditions are degenerative, leading to progressive decline, and the specific pattern of impairments varies greatly between individuals. There is, therefore, a pressing need for innovative, user-friendly technologies that can actively support balance, enhance rehabilitation, and ultimately reduce fall risk.
Within this context, the BalancingACT project set out to explore how lightweight, wearable robotic devices (i.e. gyroscopic actuators capable of modulating whole-body stability) can be harnessed to improve balance and gait. The primary goal of this project was to integrate insights from motor learning and neuromechanics research in order to effectively adapt both the wearable robotic devices as well as the human using the device.