Over the years, the elderly people population will become more than children population; besides since 2018 people over 65 years old outnumbered the population under 5 years old. Growing up involves biological, physical, social and psychological changes that may lead to social isolation and loss of loved ones, or even to the sense of loss of value, purpose or confidence. Moreover, as people are aging, they usually spend more time at home. As a solution, social inclusion through mobile devices and smart home seem to be ideal to avoid that lack of purpose in life, confidence or value. Smart homes collect and analyze data from household appliances and devices to promote independence, prevent emergencies and increase the quality of life in elderly people. In that regard, the multi-sensor system allows the expert to know more about the elderly people needs to propose actions that improve the elderly people's quality of life, as they can read and analyze through sensors their facial expressions, voice, among others. Gamification in older people may motivate elderly people to socialize with their peers through social interaction and by doing activities as exercising. Thus, this chapter proposes to use an adaptive neural network fuzzy inference to evaluate camera and voice devices that come from the multi-sensor system to propose an interactive and tailored human-machine interface for the elderly people in the home.