This paper focuses on a real-time Max/MSP implementation of a gesture recognition tool based on Dynamic Time Warping (DTW). We present an original ”multi-grid” DTW algorithm, that does not require prior segmentation. The num.dtw object will be downloadable on the numediart website both for Max/MSP and for Pure Data. Though this research was conducted in the framework described below, with weara...

The prevalence of osteoarthritis is increasing globally but current compliance with rehabilitation remains poor. This study explores whether wearable sensors can be used to provide objective measures of performance with a view to using them as motivators to aid compliance to osteoarthritis rehabilitation. More specifically, the use of a novel attachable wearable sensor integrated into clothing ...

Nowadays, many medical devices have been developed for the purposes of diagnosing and treatment. Wearable sensors and systems have evolved to the point that they can be considered ready for clinical application. The use of wearable monitoring devices that allow continuous or intermittent monitoring of physiological signals is critical for the advancement of both the diagnosis as well as treatme...

Current medical records are rigid with regards to emerging big biomedical data. Several examples that already exist in clinical practice include whole genome sequencing and wearable sensors for real time monitoring. Genome sequencing not only enables conventional diagnostic interrogation, but forms the fundamental baseline for precision health throughout a patient’s lifetime. Mobile sensors ena...

In this paper, we propose a method of personal positioning for a wearable Augmented Reality (AR) system that allows a user to freely move around indoors and outdoors. The user is equipped with selfcontained sensors, a wearable camera, an inertial head tracker and display. The method is based on sensor fusion of estimates for relative displacement caused by human walking locomotion and estimates...

Georgia Institute of Technology ABSTRACT Working dogs have improved the lives of thousands of people. However, communication between human and canine partners is currently limited. The main goal of the FIDO project is to research fundamental aspects of wearable technologies to support communication between working dogs and their handlers. In this pilot study, the FIDO team investigated on-body ...

Human gait seamless continuous authentication, based on wearable accelerometers, is a novel biometric instrument which can be exploited to identify the user of mobile and wearable devices. In this paper, we present a study on recognition of user identity, by analysis of gait data, collected through body inertial sensors from 175 different users. The mechanism used for identity recognition is ba...

The constant hard work of providing nursing care, including handling emergencies, often causes medical accidents in hospitals. This paper proposes a wearable auto-event-recording system of medical nursing in order to capture the events never to be overlooked for analyzing such accidents. Our main concern is userfriendliness of the system for nurses. We’ve prototyped wearable sensors, and conduc...

The sensing of human activities and user surrounding environments is an essential topic in computer science. Application domains include the Ambient Assisted Living (AAL), healthcare, sports gear and military use cases. Especially mobile or wearable technologies made significant progress in the past years. The current development of Smartwatches and Smartphones which include a variety of sensor...

In this paper, we present a wearable Augmented Reality (AR) system with personal positioning based on walking locomotion analysis that allows a user to freely move around indoors and outdoors. The user is equipped with self-contained sensors, a wearable camera, an inertial head tracker and display. The system is based on the sensor fusion of estimates for relative displacement caused by human w...