Fallower is an automated robot system for detecting and reporting a fall for the elderly.
Full video here: https://www.youtube.com/watch?v=hMWx2GMU1FU
Clone the repository and pull all the submodules:
git clone https://github.com/parvusvox/Fallower.git
cd Fallower
git submodule update --init --recursive
In order to update all the submodules to master, use this
git submodule foreach git pull origin master
sudo apt-get install -y ros-noetic-cv-bridge \
ros-noetic-vision-opencv \
ros-noetic-hector-slam
roscd hector_mapping
vim launch/mapping_default.launch
and change to the following:
<arg name="base_frame" default="base_link"/>
<arg name="odom_frame" default="odom"/>
<arg name="pub_map_odom_transform" default="true"/>
<arg name="scan_subscriber_queue_size" default="5"/>
<arg name="scan_topic" default="scan"/>
<arg name="map_size" default="2048"/>
Then, roscd hector_slam_launch
and change launch/tutorial.launch
into the following:
<launch>
<arg name="geotiff_map_file_path" default="$(find hector_geotiff)/maps"/>
<param name="/use_sim_time" value="false"/>
<node pkg="rviz" type="rviz" name="rviz"
args="-d $(find hector_slam_launch)/rviz_cfg/mapping_demo.rviz"/>
<include file="$(find hector_mapping)/launch/mapping_default.launch"/>
<include file="$(find hector_geotiff_launch)/launch/geotiff_mapper.launch">
<arg name="trajectory_source_frame_name" value="scanmatcher_frame"/>
<arg name="map_file_path" value="$(arg geotiff_map_file_path)"/>
</include>
</launch>
Then to launch hector slam simply run
roslaunch hector_slam_launch tutorial.launch
roscore # run the ros master
roslaunch kill_depth rosbot_hardware_no_depth.launch # run the modified camera & lidar module without the depth processing
rosluanch rosbot_ekf all.launch # normal motor control and whatnot
First, make sure that you have a static IP address assigned to your laptop and NOT using DHCP. Make note of this static IP and change the ROS_IP variable in setup_laptop_for_ethernet.
Then:
source setup_laptop_for_ethernet # on the laptop
source setup_robot_for_ethernet # on the robot
First, follow the installation procedure in the FallDetection repository (github.com/parvusvox/falldetection).
Then, modify the CAM_ID portion of falldetection/constants.py to the appropriate string. (or None if you want to use the robot's built in camera).
Then, on the laptop (or any other computing device)
cd Fallower
python3 FallDetection/detection_node.py
python3 controller.py
python3 fall-detection-alert-system/action_listener.py
python3 fall-detection-alert-system/map.py
First navigate to the directory containing the website:
cd fallower-web-interface
Download the node modules by running the following command:
yarn install
Start the development server.
yarn start