Publications

2025

1. HRI

   Culturally Sensitive Social Robots for Africa

   Adedayo Akinade, Daniel Barros, Mohammed Danso, and 10 more authors

   In 2nd International Workshop on Cultural Robotics: Diversified Sustainable Practices, IEEE/ACM HRI 2025, 2025

   Abs Bib PDF

   Respectful human-robot interaction is informed by local culture. This article describes an on-going project to equip Pepper humanoid social robots with the ability to interact verbally and non-verbally with people in Rwanda and South Africa in a culturally sensitive manner. We describe an exercise to acquire Rwandan cultural knowledge by means of an online survey, targetting spatial, verbal, and non-verbal communication. Each type of knowledge in the survey is structured using a cultural knowledge ontology. We describe the development of a complete system architecture which uses this cultural knowledge to interact with people, illustrating the approach with one specific example in which a Pepper robot gives visitors a short tour of a robotics laboratory. The system is implemented in the Robot Operating System (ROS) by developing a package of ROS nodes that provide functionality for overt attention (based on detection & localization of sounds, people, and faces), speech understanding and production, animate behavior, deictic, iconic, and symbolic gesture, and navigation. The robot mission is coordinated by a ROS behavior controller node that interprets the use case scenario specified by a behavior tree.

   @inproceedings{akinadeetal2025cssr4a,
     author = {Akinade, Adedayo and Barros, Daniel and Danso, Mohammed and Haile, Yohannes and Birhan, Eyerusalem and Girma, Birhanu Shimelis and Osano, Clifford and Ranchod, Pravesh and Richard, Muhirwa and Rosman, Benjamin and Jimoh, Ibrahim and Tefferi, Tsegazeab Taye and Vernon, David},
     title = {Culturally Sensitive Social Robots for Africa},
     booktitle = {2nd International Workshop on Cultural Robotics: Diversified Sustainable Practices, IEEE/ACM HRI 2025},
     year = {2025},
   }

2. IJHR

   Biological Motion Aids Gestural Communication by Humanoid Social Robots

   Adedayo Akinade, Daniel Barros, and David Vernon

   International Journal of Humanoid Robotics, 2025

   Abs DOI Bib PDF

   Advances in social robotics have led to increased interest in designing robots that can communicate effectively with humans through non-verbal gestures. One approach to enhancing the naturalness and expressiveness of robot gestures is to incorporate biological motion, which mimics the velocity and acceleration profiles observed in human gestures. This paper examines the use of biological motion for gestural communication by humanoid social robots, focusing on the impact of biological motion on the perceived warmth and effectiveness of robot gestures in fostering engagement while interacting with these robots. The exercise involved implementing the minimum jerk model of biological motion on a Pepper humanoid social robot and conducting user studies to evaluate the impact of biological motion on human-robot interaction. The results show that incorporating biological motion cues can significantly increase the perceived warmth of robot gestures and improve the overall effectiveness of gestural communication, resulting in more natural and engaging human-robot interaction

   @article{akinadeetal2025biological,
     author = {Akinade, Adedayo and Barros, Daniel and Vernon, David},
     title = {Biological Motion Aids Gestural Communication by Humanoid Social Robots},
     journal = {International Journal of Humanoid Robotics},
     volume = {22},
     number = {2},
     pages = {2550001},
     year = {2025},
     doi = {10.1142/S021984362550001X},
     url = {https://doi.org/10.1142/S021984362550001X},
     eprint = {https://doi.org/10.1142/S021984362550001X},
   }

2023

1. SR

   Culturally competent social robots target inclusion in Africa

   Adedayo Akinade, Yohannes Haile, Natasha Mutangana, and 2 more authors

   Science Robotics, 2023

   Abs DOI Bib PDF

   Embedding culturally sensitive body, hand, and facial gestures in social robots will make them more acceptable in Africa.

   @article{akinadeetal2023culturally,
     author = {Akinade, Adedayo and Haile, Yohannes and Mutangana, Natasha and Tucker, Conrad and Vernon, David},
     title = {Culturally competent social robots target inclusion in Africa},
     journal = {Science Robotics},
     volume = {8},
     number = {85},
     pages = {eadm7012},
     year = {2023},
     doi = {10.1126/scirobotics.adm7012},
     url = {https://www.science.org/doi/abs/10.1126/scirobotics.adm7012},
     eprint = {https://www.science.org/doi/pdf/10.1126/scirobotics.adm7012}
   }

2022

1. HCI

   Enhancing the Human-computer Interaction through the Application of Artificial Intelligence, Machine Learning, and Data Mining

   S. O. Owoeye, K.I Adenuga, H.A Mustapha, and 1 more author

   In Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II, 2022

   Abs DOI Bib PDF

   Machines have become an essential part of day-to-day human activities; their volume and frequency of usage have rapidly increased in every sector. These machines, especially the computer system, are well known for their speed, accuracy, repeatability, and use to execute tasks that can be harmful to humans. However, these machines lack intelligence, as they do not possess the ability to think like humans. The quest for producing machines with thinking capabilities led to artificial intelligence; thus, many efforts were channeled towards developing devices that can communicate with their surroundings, making a logical decision on what has been perceived, and then provide the proper solution to the problem. To achieve this feat, machine learning is utilized by subjecting the system to a series of training using algorithms and data mining techniques, which is similar to how humans learn from infancy till adulthood and then execute tasks based on knowledge and the experiences they have gathered growing up. While these technologies opened a creative horizon for technological development, there is a current demand for intelligent user interfaces with high usability that can sustain the mode of interaction depending on users, tasks assigned, and the environment. This chapter attempts to present an overview of how data mining can be incorporated with machine learning to produce a machine with artificial intelligence and how both can improve the intelligent user interface.

   @incollection{akinadeetal2022enhancing,
     author = {O. Owoeye, S. and Adenuga, K.I and Mustapha, H.A and Akinade, A.S},
     title = {Enhancing the Human-computer Interaction through the Application of Artificial Intelligence, Machine Learning, and Data Mining},
     booktitle = {Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II},
     publisher = {Bentham Science Publishers},
     year = {2022},
     pages = {159-176},
     url = {https://www.benthamdirect.com/content/books/9789815036398.chap8},
     url_show = {true},
     doi = {10.2174/97898150363981220101},
     eprint = {https://www.benthamdirect.com/content/books/9789815036398.chap8},
   }

2. PBHE

   Healthcare monitoring through IoT: security challenges and privacy issues

   S.O. Owoeye, A.S. Akinade, K.I. Adenuga, and 1 more author

   2022

   Abs DOI Bib PDF

   With a projected increase in world population to about 2.3 billion by the year 2050 and the corresponding challenges this increase would have on the provision of healthcare for the populace, there arises a need for a drastic improvement in the current state of the healthcare industry in order to overcome the challenges. A shift from the usual reactive approach to healthcare, in which health conditions would have deteriorated before treatment begins, to a more proactive methodology, which focuses on early diagnosis, identification and prevention of health conditions and wellness management is needed. This can be achieved by making health condition monitoring and well-being management a huge priority. Thus, considerations must be given to Internet of Things (IoT) technologies, as they can impact positively in designing, building and maintaining intelligent, interconnected and individually tailored healthcare services and products. With the aid of IoT technologies, individual physical conditions can be monitored continuously and remotely and actions are taken as necessary. Also, a proper record can be kept for individual health conditions and their progress levels monitored, thus, enabling healthcare providers to better evaluate and detect early symptoms of health problems. Although with the adoption of the IoT in healthcare, a lot of benefits are obtainable, there are still some concerns, including security, standards, scalability and privacy. These concerns seem to overwhelm the seemingly broad opportunities available in IoT and must be tackled to facilitate the application of IoT. This chapter aims to open up the techniques and advantages of IoT in personalized healthcare. It also opens up the challenges and possible solutions that can be adopted in tracking and monitoring health status.

   @inbook{akinadeetal2022healthcare,
     author = {Owoeye, S.O. and Akinade, A.S. and Adenuga, K.I. and Durodola, F.O.},
     title = {Healthcare monitoring through IoT: security challenges and privacy issues},
     booktitle = {Healthcare Monitoring and Data Analysis using IoT},
     chapter = {Chapter 8},
     pages = {149-166},
     year = {2022},
     doi = {10.1049/PBHE038E_ch8},
     url = {https://digital-library.theiet.org/doi/abs/10.1049/PBHE038E_ch8},
     eprint = {https://digital-library.theiet.org/doi/pdf/10.1049/PBHE038E_ch8}
   }

3. ITED

   Development of Alcohol Detection with Engine Locking and Short Messaging Service Tracking System

   Samuel Owoeye, Folasade Durodola, Adedayo Akinade, and 2 more authors

   In 2022 5th Information Technology for Education and Development (ITED), 2022

   Abs DOI Bib PDF

   Road travelling is among the simplest modes of transportation. Accidents are frequently the consequence of a human error on the road, and they can occasionally be brought on by alcohol intake which alters the victim’s way of thinking. Law enforcement agencies have made significant efforts to lower the risk of drunk driving, but none have been able to significantly diminish it. Due to this, the proposed system was developed to lessen the likelihood of accidents on our roads being brought on by intoxicated drivers. The device can prevent a drunk driver from operating the vehicle and, in the event of an accident, send a message to a pre-programmed number informing it of the location of the vehicle. The entire software is built around a microcontroller, an alcohol sensor, and a vibration sensor. The sensor is used to set an alcohol threshold at which an alarm will buzz, and when the set threshold is exceeded, the flow of fuel to the engine will cease, thereby bringing the car to a halt. In case of an auto crash, the microcontroller would receive input from the attached vibration sensor, and send the location of the vehicle to a pre-registered phone number on the subscriber identification module (SIM) of the project. This project is a prototype of what is proposed in a vehicle where the DC motor serves as the fuel pump.

   @inproceedings{akinadeetal2022alcohol,
     author = {Owoeye, Samuel and Durodola, Folasade and Akinade, Adedayo and Alkali, Ahmad and Olaonipekun, Olaitan},
     booktitle = {2022 5th Information Technology for Education and Development (ITED)},
     title = {Development of Alcohol Detection with Engine Locking and Short Messaging Service Tracking System},
     year = {2022},
     volume = {},
     number = {},
     pages = {1-6},
     keywords = {Vibrations;Microcontrollers;Law enforcement;Roads;Prototypes;Software;Sensors;Alcohol;Accidents;Road safety;Microcontroller;drunk driving;road crashes;Nigeria},
     doi = {10.1109/ITED56637.2022.10051302},
     url = {https://ieeexplore.ieee.org/document/10051302},
   }

4. IJICT

   Smart IoT-Based Egg Incubator for Small-Scale Poultry Farmers

   Owoeye Samuel, Akinade Adedayo, Durodola Folasade, and 3 more authors

   Ife Journal of Information and Communication Technology (IJICT), 2022

   Abs Bib PDF

   Artificial egg hatcheries are being used toproduce enough chicken products to satisfy the increased demand. Still, courtyard and poultry producers on a smallscale are hampered by relying on natural incubation or industrial hatcheries to produce young birds for breeding. In this study, an incubator with an incandescent heat source for 4500 chicken eggs is developed and built. The incubator system’s Arduino microcontroller, through relays, manages the heaters, air circulation fans, and tray-turning mechanism. A 16x2 LCD panel shows the incubator’s current conditions, including temperature and humidity. The incubator system may be remotely monitored in realtime with the help of the ESP32 CAM. The project aims to create an affordable, energy-efficient incubator that can be used in the hatchery processof eggs.

   @article{akinadeetal2022Incubator,
     author = {Samuel, Owoeye and Adedayo, Akinade and Folasade, Durodola and Tobiloba, Farinde and Chidinma, Uche and Omotolani, Sulaimon},
     year = {2022},
     pages = {46-53},
     title = {Smart IoT-Based Egg Incubator for Small-Scale Poultry Farmers},
     volume = {6},
     journal = {Ife Journal of Information and Communication Technology (IJICT)},
     url = {https://ijict.oauife.edu.ng/index.php/IJICT/issue/view/1},
   }

2021

1. COLENG

   Development of a Fire Extinguishing Robot with SMS Alert Capabilities

   Samuel Owoeye, Adedayo Akinade, Folasade Durodola, and 3 more authors

   In 3rd International Conference on Engineering Innovations as a Catalyst for Rapid Economic Growth, 2021

   Abs Bib PDF

   Fire incidents are disasters that can potentially lead to the loss of life and property. It can also leads to a temporal or permanent disability on the affected victim. The primary duty of fire fighters is to handle fire incidents, which often exposed them to high risks when carrying out the task of extinguishing fire, especially in hazardous area. This study presents the development of a fire extinguishing robot with SMS alert feature that can raise an alarm to notify occupants of the building, send an alert SMS message to a registered phone number, and also proceed to extinguish the fire unmanned. It is designed to be compact in size in order to ease movement into narrow spaces. The robot is equipped with an ultrasonic sensor to avoid collision with any obstacle and objects in the surrounding, while the flame sensor alongside a smoke sensor, were used to detect the fire. This developed autonomous system demonstrates capabilities of identifying fire locations automatically and extinguishes the fire using the stored mixture in the container placed on it.

   @inproceedings{akinadeetal2021fire,
     title = {Development of a Fire Extinguishing Robot with SMS Alert Capabilities},
     author = {Owoeye, Samuel and Akinade, Adedayo and Durodola, Folasade and Olaonipekun, Olaitan and Anyanwu, Benedict and Odeyemi, Jethro},
     year = {2021},
     booktitle = {3rd International Conference on Engineering Innovations as a
     Catalyst for Rapid Economic Growth},
     pages = {198-205},
   }

2020

1. IJRA

   Development of a real-time framework for farm monitoring using drone technology

   Adekunle Oyelami, Adedayo Akinade, and Kingsley Obianefo

   IAES International Journal of Robotics and Automation (IJRA), Dec 2020

   Abs DOI Bib PDF

   This work developed a cost-effective framework for agriculturists to regularly monitor their crops against intruding rodents and other security concerns using modern drone technology through configuration and deployment of an autonomous UAV which also functions as a remotely piloted vehicle. This was done by configuring a quadcopter capable of causing a disturbance when a rodent is observed through an inbuilt alarm system whose sound is amplified to be loud enough to cause the animals to leave the farm area. A framework for real-time image and live video transmission from the farm to a designated remote base station was developed. This was achieved through programming codes that configured the drone to operate an intelligent alarm and object tracking systems which enables a live feed from the UAV using Arduino IDE and Mission Planner for autonomous flight control. The requisite algorithms were developed using the framework of tracking, learning and detection (TLD) in the OpenCV software. The drone movement is equally controlled remotely over a Wi-Fi network using an ESP8266 Wi-Fi module for redirection and controlling of the drone movement to monitor specific locations.

   @article{akinadeetal2020drone,
     author = {Oyelami, Adekunle and Akinade, Adedayo and Obianefo, Kingsley},
     year = {2020},
     month = dec,
     pages = {244},
     title = {Development of a real-time framework for farm monitoring using drone technology},
     volume = {9},
     journal = {IAES International Journal of Robotics and Automation (IJRA)},
     doi = {10.11591/ijra.v9i4.pp244-250},
     url = {https://journal.iaescore.com/index.php/IJRA/article/view/244},
     eprint = {https://journal.iaescore.com/index.php/IJRA/article/view/244},
   }