eprintid: 10114584 rev_number: 15 eprint_status: archive userid: 608 dir: disk0/10/11/45/84 datestamp: 2020-11-11 15:15:40 lastmod: 2021-11-15 02:45:37 status_changed: 2020-11-11 15:15:40 type: proceedings_section metadata_visibility: show creators_name: Biswas, D creators_name: Ye, Z creators_name: Mazomenos, EB creators_name: Jobges, M creators_name: Maharatna, K title: CORDIC Framework for Quaternion-based Joint Angle Computation to Classify Arm Movements ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F42 keywords: MARG sensor, activity recognition, quaternion, CORDIC, classification note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: We present a novel architecture for arm movement classification based on kinematic properties (joint angle and position), computed from MARG sensors, using a quaternion-based gradient-descent method and a 2-link model of the upper limb. The design based on Coordinate Rotation Digital Computer framework was validated on stroke survivors and healthy subjects performing three elementary arm movements (reach and retrieve, lift arm, rotate arm), involved in `making-a-cup-of-tea' an archetypal daily activity, achieved an overall accuracy of 78% and 85% respectively. The design coded in System Verilog, was synthesized using STMicroelectronics 130 nm technology, occupies 340K NAND2 equivalent area and consumes 292 nW @ 150 Hz, besides being functionally verified up to 25 MHz making it suitable for real-time high speed operations. The orientation, arm position and the joint angle, are computed on-the-fly, with the classification performed at the end of movement duration. date: 2018-05-04 date_type: published publisher: IEEE official_url: https://doi.org/10.1109/ISCAS.2018.8350967 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1613432 doi: 10.1109/ISCAS.2018.8350967 lyricists_name: Mazomenos, Evangelos lyricists_id: EMAZO45 actors_name: Mazomenos, Evangelos actors_id: EMAZO45 actors_role: owner full_text_status: public series: IEEE International Symposium on Circuits and Systems publication: 2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) volume: 2018 place_of_pub: Florence, Italy pages: 5 event_title: IEEE International Symposium on Circuits and Systems (ISCAS), 27–30 May 2018, Florence, Italy event_location: Florence, ITALY event_dates: 27 May 2018 - 30 May 2018 institution: IEEE International Symposium on Circuits and Systems (ISCAS) book_title: Proceedings of the 2018 IEEE International Symposium on Circuits and Systems (ISCAS) citation: Biswas, D; Ye, Z; Mazomenos, EB; Jobges, M; Maharatna, K; (2018) CORDIC Framework for Quaternion-based Joint Angle Computation to Classify Arm Movements. In: Proceedings of the 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE: Florence, Italy. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10114584/1/ISCAS_orientation.pdf