title: Increasing trend of wearables and multimodal interface for human activity monitoring: A review.
abstract: Activity recognition technology is one of the most important technologies for life-logging and for the care of elderly persons. Elderly people prefer to live in their own houses, within their own locality. If, they are capable to do so, several benefits can follow in terms of society and economy. However, living alone may have high risks. Wearable sensors have been developed to overcome these risks and these sensors are supposed to be ready for medical uses. It can help in monitoring the wellness of elderly persons living alone by unobtrusively monitoring their daily activities. The study aims to review the increasing trends of wearable devices and need of multimodal recognition for continuous or discontinuous monitoring of human activity, biological signals such as Electroencephalogram (EEG), Electrooculogram (EOG), Electromyogram (EMG), Electrocardiogram (ECG) and parameters along with other symptoms. This can provide necessary assistance in times of ominous need, which is crucial for the advancement of disease-diagnosis and treatment. Shared control architecture with multimodal interface can be used for application in more complex environment where more number of commands is to be used to control with better results in terms of controlling.
authors.affiliation: Department of Electrical Engineering, National Institute of Technical Teacher's Training and Research, Sector-26, Chandigarh 160019, India. Electronic address: pgrr.2403@gmail.com.
authors.forename: Preeti
authors.initials: P
authors.lastname: Kumari
authors.affiliation: Department of Electrical Engineering, National Institute of Technical Teacher's Training and Research, Sector-26, Chandigarh 160019, India. Electronic address: lenimathew@yahoo.com.
authors.forename: Lini
authors.initials: L
authors.lastname: Mathew
authors.affiliation: Department of Electrical Engineering, National Institute of Technical Teacher's Training and Research, Sector-26, Chandigarh 160019, India.
authors.forename: Poonam
authors.initials: P
authors.lastname: Syal
mesh_terms: D000368:Aged; D015374:Biosensing Techniques; D004562:Electrocardiography / Q000295:instrumentation*; D006802:Human Activities; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D017216:Telemedicine
keywords: Biomedical; Human Computer Interface; Human activity monitoring; Multimodal interface; Shared control architecture; Smart sensors; Wearable sensors