Human motion tracking for rehabilitation - A survey

By Huiyu Zhou, Huosheng Hu. 2008

869 citations recorded by the source corpus.

Subfields: Rehabilitation, Human-Computer Interaction

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Rehabilitation

In Human-Computer Interaction

Citations in the corpus

Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “Several earlier surveys were also published to review methods to recognize human poses, motions, gestures, and activities [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], as well as their applications [49], [50].”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “home-based rehabilitation is characterized by a number of specific constraints and requirements, and associated solutions [127, 116], involving multi-sensor data fusion, real-time feedback for patients, and virtual-reality integration.”
Video-Based Abnormal Human Behavior Recognition—A Review (2012, background): “, tracking [35], human–computer interactions [36], rehabilitation [37], pedestrian protection sys-”
An efficient orientation filter for inertial and inertial / magnetic sensor arrays (2010, background): “The accurate measurement of orientation plays a critical role in a range of fields including: aerospace [1, 2, 3], robotics [4, 5], navigation [6, 7] and human motion analysis [8, 9] and machine interaction [10].”
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey (2018, methodology): “In these circumstances, simple human tracking is not suﬃ-cient; in fact, some applications require to detect and track single body parts, especially in applications within the analysis domain [21,100] .”
Sparse coding based visual tracking: Review and experimental comparison (2013, background): “In the literature, a number of tracking algorithms have been proposed (for example [1–6]; see [7,8] for detailed reviews).”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “that make rehabilitation a specific research area with specific constraints and requirements [328, 205].”
Wearable soft sensing suit for human gait measurement (2014, background): “The gold standard for human motion analysis is optical tracking of passive retroreflective or active markers positioned at key bony landmarks (Zhou and Hu, 2008).”
Resistive flex sensors: a survey (2015, methodology): “These methods are still routinely adopted, but they can be advantageously replaced by the use of RFSs, as demonstrated in kinesiology [91], physiotherapy [126], rehabilitation [59, 102, 127, 128], telehealth [129] or long-term monitoring [130], and in the control of orthoses [105, 106, 131–136] or p”
Estimation of IMU and MARG orientation using a gradient descent algorithm (2011, background): “The accurate measurement of orientation plays a critical role in a range of fields including: aerospace [1], robotics [2], [3], navigation [4], [5] and human motion analysis [6], [7] and machine interaction [8].”