Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Senior Lecturer



+44 (0)20 7594 0806benny.lo Website




B414BBessemer BuildingSouth Kensington Campus






BibTex format

author = {Singh, RK and Varghese, RJ and Liu, J and Zhang, Z and Lo, B},
booktitle = {Biosystems and Biorobotics},
doi = {10.1007/978-3-030-01845-0_91},
pages = {454--458},
title = {A multi-sensor fusion approach for intention detection},
url = {},
year = {2019}

RIS format (EndNote, RefMan)

AB - © Springer Nature Switzerland AG 2019. For assistive devices to seamlessly and promptly assist users with activities of daily living (ADL), it is important to understand the user’s intention. Current assistive systems are mostly driven by unimodal sensory input which hinders their accuracy and responses. In this paper, we propose a context-aware sensor fusion framework to detect intention for assistive robotic devices which fuses information from a wearable video camera and wearable inertial measurement unit (IMU) sensors. A Naive Bayes classifier is used to predict the intent to move from IMU data and the object classification results from the video data. The proposed approach can achieve an accuracy of 85.2% in detecting movement intention.
AU - Singh,RK
AU - Varghese,RJ
AU - Liu,J
AU - Zhang,Z
AU - Lo,B
DO - 10.1007/978-3-030-01845-0_91
EP - 458
PY - 2019///
SP - 454
TI - A multi-sensor fusion approach for intention detection
T1 - Biosystems and Biorobotics
UR -
ER -