A Fuzzy Logic Approach for Remote Healthcare Monitoring by Learning and Recognizing Human Activities of Daily Living
Hamid Medjahed, Dan Istrate, Jrme Boudy, Jean Louis, Lamine Bougueroua, Mohamed Achraf, Bernadette Dorizzi · InTech eBooks · 2012
Fuzzy Logic -Emerging Technologies and Applications 20validated from end to end, through their hardware and software.The first subsystem is Anason (Rougui et al., 2009) with its set of microphones that allow sound remote monitoring of the acoustical environment of the elderly.The second subsystem is RFpat (Medjahed et al., 2008), a wearable device fixed on the elderly person, which can measure physiological data (cardiac frequency, activity or agitation, posture and fall detection sensor).The last subsystem is a set of infrared sensors and domotic sensors like contact sensors, temperature sensors, smoke sensors and several other domotic sensors for environment conditions monitoring (Medjahed et al., 2008).This fuzzy logic approach allowed us to recognize several activities of daily living (ADLs) for ubiquitous healthcare.The decision of this multimodal data fusion platform is sent to a remote monitoring center to take action in the case of distress situation. CompanionAble projectThe CompanionAble project aim to provide the synergy of Robotics and Ambient Intelligence technologies and their semantic integration to provide for a care-giver's assistive environment.This will support the cognitive stimulation and therapy management of the care-recipient.This is mediated by a robotic companion (mobile facilitation) working collaboratively with a smart home environment (stationary facilitation).There are widely acknowledged imperatives for helping the elderly live at home (semi)independently for as long as possible.Without cognitive stimulation support the elderly dementia and depression sufferers can deteriorate rapidly and the carers will face a more demanding task.Both groups are increasingly at the risk of social exclusion.