Multimodal Gait Recognition for Neurodegenerative Diseases

Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment

“…Fusion of multiple measurement resources presents a promising development for human movement studies such as increased activity recognition and more informed gait assessment [45,46]. Previously, IMU sensor fusion with accelerometers and gyroscopes was adopted to produce more consistent and reliable outputs [47].…”

“…kinematic, muscle) of the lower limb with a large number of outcomes [3]. Variances in gait are very subtle [45], and so the multi-modal gait approach enables granular capture of characteristics considering key digital biomarkers, i.e., clinically relevant gait characteristics. A study already reported that these variances/fluctuations in gait can be used to differentiate a particular neurological condition from healthy participants using gait data along with complexity measures [75].…”