aids (communication); smart home appliances (environment); medication management and smart diapers (self-care). The technology readiness level and the related patenting activity can also be explained through the following factors which contribute to a product's entry to market, such as the expected impact on a person's participation in different aspects of life, the ease of adoption (need for training, fitting, additional equipment for interoperability, and so on), the societal acceptance and potential ethical concerns, and the need for regulatory approval. This is mainly the case for assistive technology that qualifies as medical technology. Among these aspects, acceptability and ethical considerations are particularly relevant to those technologies that are extremely invasive (such as cortical or auditory brainstem implants), or replace the human caregiver and human interaction, or collect and use data on cloud-based services or interconnected devices (e.g., companion robots, smart nursing and health-monitoring technologies), raising privacy issues and requiring connectivity, or raise safety concerns, such as autonomous wheelchairs. Beyond the patent landscape, industrial designs have an added importance for the field of assistive technology. Assistive technology is often not adopted, or else abandoned entirely, because of issues to do with design (lack of appeal) or comfort (poor ergonomics). Design often plays a role after the patenting activity, as a product needs to be re-designed for mass production. Impacts Overall, assistive technology aims to allow disabled people to "participate more fully in all aspects of life (home, school, and community)" and increases their opportunities for "education, social interactions, and potential for meaningful employment". It creates greater independence and control for disabled individuals. For example, in one study of 1,342 infants, toddlers and preschoolers, all with some kind of developmental, physical, sensory, or cognitive disability, the use of assistive technology created improvements in child development. These included improvements in "cognitive, social, communication, literacy, motor, adaptive, and increases in engagement in learning activities". Additionally, it has been found to lighten caregiver load. Both family and professional caregivers benefit from assistive technology. Through its use, the time that a family member or friend would need to care for a patient significantly decreases. However, studies show that care time for a professional caregiver increases when assistive technology is used. Nonetheless, their work load is significantly easier as the assistive technology frees them of having to perform certain tasks. There are several platforms that use machine learning to identify the appropriate assistive device to suggest to patients,