This paper deals with the design of a wearable multi-sensor system (INDIP) that exploits a synergistic integration of different sensor types to provide a “best available” solution for digital gait assessment in real world scenarios. This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for an...
Walking is the most common form of human locomotion and the systematic study thereof is known as gai...
Multiple sensors are embedded in wearable devices. Sensors are mainly included for tracking informat...
Abstract: Digital mobility assessment using wearable sensor systems has the potential to capture wal...
Introduction Recently, there has been a growing interest in methods for monitoring individual motor...
Gait analysis is commonly performed in standardized environments, but there is a growing interest in...
Abstract: Gait analysis is commonly performed in standardized environments, but there is a growing ...
Introduction: Accurately assessing people’s gait, especially in real-world conditions and in case of...
Standardized data from Mobilise-D HYA dataset (one participant, data from both laboratory and 2.5 ho...
Gait analysis is commonly performed in standardized environments, but there is a growing interest in...
Dataset includes 2.5 hours real-world data, for one participant from each of the technical validatio...
The evaluation of gait performances in free-living conditions requires the adoption of wearable devi...
The importance of sensors has grown dramatically through the years, specially since they have the ca...
The importance of sensors has grown dramatically through the years, specially since they have the ca...
Wearable devices are used in movement analysis and physical activity research to extract clinically ...
Abstract - Performance of a multi-sensor wearable system for validating gait assessment: preliminary...
Walking is the most common form of human locomotion and the systematic study thereof is known as gai...
Multiple sensors are embedded in wearable devices. Sensors are mainly included for tracking informat...
Abstract: Digital mobility assessment using wearable sensor systems has the potential to capture wal...
Introduction Recently, there has been a growing interest in methods for monitoring individual motor...
Gait analysis is commonly performed in standardized environments, but there is a growing interest in...
Abstract: Gait analysis is commonly performed in standardized environments, but there is a growing ...
Introduction: Accurately assessing people’s gait, especially in real-world conditions and in case of...
Standardized data from Mobilise-D HYA dataset (one participant, data from both laboratory and 2.5 ho...
Gait analysis is commonly performed in standardized environments, but there is a growing interest in...
Dataset includes 2.5 hours real-world data, for one participant from each of the technical validatio...
The evaluation of gait performances in free-living conditions requires the adoption of wearable devi...
The importance of sensors has grown dramatically through the years, specially since they have the ca...
The importance of sensors has grown dramatically through the years, specially since they have the ca...
Wearable devices are used in movement analysis and physical activity research to extract clinically ...
Abstract - Performance of a multi-sensor wearable system for validating gait assessment: preliminary...
Walking is the most common form of human locomotion and the systematic study thereof is known as gai...
Multiple sensors are embedded in wearable devices. Sensors are mainly included for tracking informat...
Abstract: Digital mobility assessment using wearable sensor systems has the potential to capture wal...