2015
DOI: 10.1007/978-3-319-22416-9_21
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Towards Intelligent Lower Limb Prostheses with Activity Recognition

Abstract: Abstract. User's volitional control of lower limb prostheses is still challenging task despite technological advancements. There is still a need for amputees to impose their will upon the prosthesis to drive in an accurate and interactive fashion. This study represents a brief review on control strategies using different sensor modalities for the purpose of phases/events detection and activity recognition. The preliminary work that is associated with middle-level control shows a simple and reliable method for … Show more

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Cited by 1 publication
(2 citation statements)
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“…2) by applying rule-based algorithm on the gyroscope signal obtained during level ground walking and ramp ascending/descending for healthy and amputee subjects. [15,16] Placement of haptic actuator will require different strategies based on various amputation level. For transtibial amputee, it is possible to place the actuator on the residual limb around the thigh area.…”
Section: A Feedback Schemementioning
confidence: 99%
See 1 more Smart Citation
“…2) by applying rule-based algorithm on the gyroscope signal obtained during level ground walking and ramp ascending/descending for healthy and amputee subjects. [15,16] Placement of haptic actuator will require different strategies based on various amputation level. For transtibial amputee, it is possible to place the actuator on the residual limb around the thigh area.…”
Section: A Feedback Schemementioning
confidence: 99%
“…1 shows the feedback scheme for the overall system design. Single wireless Inertial Measurement Unit (IMU) attached on the shank developed in our previous work [15,16] will be used to identify gait events. The system demonstrated successful real-time detection of toe-off (TO) and initial contact (IC) events (Fig.…”
Section: A Feedback Schemementioning
confidence: 99%