Gait Analysis Using a Shoe-Integrated Wireless Sensor System
By S. Bamberg, A. Benbasat, D. Scarborough, D. Krebs, J. Paradiso. IEEE Transactions on Information Technology in Biomedicine, 2008
781 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/c4b887b7437405eb6dafae7f2f801753cb463b71
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Kamiar Aminian
- Weijun Tao
- Tao Liu
- Hutian Feng
- Rencheng Zheng
- Mark R. Cutkosky
- Adrian Basarab
- Alexander A. Sawchuk
In Physical Therapy, Sports Therapy and Rehabilitation
Citations in the corpus
- Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications (2014, background): “These sensors are usually fitted in instrumented shoes to measures ankle to foot angles [62].”
- Foot Plantar Pressure Measurement System: A Review (2012, methodology): “It is reported that a shoe attachment of mass 300 g or less does not affect gait significantly [27].”
- Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. (2014, background): “Angle [30,70] Angular velocity [43,66,69,81,82] Angular acceleration [82] About inferior-superior axis Angle [30] Angular velocity [43,66,69,81,82] Angular acceleration [82]”
- SHIMMER™ – A Wireless Sensor Platform for Noninvasive Biomedical Research (2010, background): “Wireless sensor applications have demonstrated the ability to monitor a variety of multiple parameters including physiological [7], [8], kinematics [9], [10], ambient [11], [12], and en-”
- Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review (2016, background): “They can be used for monitoring patients 24 h a day, recording physiological or behavioural data, with sensors integrated in jewellery, wristwatches [160], armbands [161], shoes [162], embedded in clothes [163] and implanted in vivo [164,165].”
- Smart wearable systems: Current status and future challenges (2012, background): “In the Respect project, the sole of a shoe, as shown in [88], is under development.”
- 3D gait assessment in young and elderly subjects using foot-worn inertial sensors. (2010, methodology): “Using this hypothesis, Sabatini et al. (2005) proposed a 2D-analysis method with periodic linear drift correction at each stance, and Bamberg et al. (2008) used a similar approach with wireless hardware.”
- WiWho: WiFi-Based Person Identification in Smart Spaces (2016, background): “various phases of gait are not clearly detected like [23].”
- USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors (2012, background): “Examples of such items are watches, shoes, mobile phones, and clothing [17] [5] [10].”
- In-Shoe Plantar Pressure Measurement and Analysis System Based on Fabric Pressure Sensing Array (2010, methodology): “[21] utilized five sensors at the positions of heel, metatarsal, and hallux to achieve a clinical gait analysis.”
- Gait Analysis Using Wearable Sensors (2012, background): “body-worn accelerometers and pressure sensors inside footwear, as reported in several papers [22–26].”