We have created a system for identifying people based on their footstep force profiles and have tested its accuracy against a large pool of footstep data. This floor system may be used to transparently identify users in their everyday living and working environments. We have created user footstep models based on footstep profile features and have been able to achieve a recognition rate of 93 % using this feature-based approach. We have also shown that the effect of footwear is negligible on recognition accuracy
IEEE: This work has been submitted to the IEEE for possible publication. Copyright may be transferre...
This thesis documents the design, implementation and testing of a smart sensing platform that is abl...
Following the recent Internet of Everything (IoE) trend, several general-purpose devices have been p...
We have created a system for identifying people based on their footstep force profiles and have test...
This paper describes the development of a prototype floor sensor as a gait recognition system. This ...
International audienceLocalisation, tracking and recognition of objects and humans are basic tasks t...
This paper describes experiments on recognizing footstep patterns from data produced by pressure-sen...
This thesis documents the design, implementation and testing of a smart sensing platform that is abl...
A large body of work investigated touch, mid-air, and gaze-based user authentication. However, littl...
One emerging biometric identification method is the use of human footprint. However, in the previous...
Occupant detection and recognition support functional goals such as security, healthcare, and energy...
Current advances in sensor design technologies and computing power (computational and artificial int...
Recently, passive behavioral biometric (e.g., gesture or footstep) acquired from wireless networks o...
In the paper a way of people identification, based on ground reaction forces during gait, is present...
Foot interfaces, such as pressure-sensitive insoles, still yield unused potential such as for implic...
IEEE: This work has been submitted to the IEEE for possible publication. Copyright may be transferre...
This thesis documents the design, implementation and testing of a smart sensing platform that is abl...
Following the recent Internet of Everything (IoE) trend, several general-purpose devices have been p...
We have created a system for identifying people based on their footstep force profiles and have test...
This paper describes the development of a prototype floor sensor as a gait recognition system. This ...
International audienceLocalisation, tracking and recognition of objects and humans are basic tasks t...
This paper describes experiments on recognizing footstep patterns from data produced by pressure-sen...
This thesis documents the design, implementation and testing of a smart sensing platform that is abl...
A large body of work investigated touch, mid-air, and gaze-based user authentication. However, littl...
One emerging biometric identification method is the use of human footprint. However, in the previous...
Occupant detection and recognition support functional goals such as security, healthcare, and energy...
Current advances in sensor design technologies and computing power (computational and artificial int...
Recently, passive behavioral biometric (e.g., gesture or footstep) acquired from wireless networks o...
In the paper a way of people identification, based on ground reaction forces during gait, is present...
Foot interfaces, such as pressure-sensitive insoles, still yield unused potential such as for implic...
IEEE: This work has been submitted to the IEEE for possible publication. Copyright may be transferre...
This thesis documents the design, implementation and testing of a smart sensing platform that is abl...
Following the recent Internet of Everything (IoE) trend, several general-purpose devices have been p...