Human Activity Recognition Has Attracted The Attention Of Researchers Around The World. This Is An Interesting Problem That Can Be Addressed In Different Ways. Many Approaches Have Been Presented During The Last Year .These Applications Present Solutions To Recognize Different Kinds Of Activities Such As If The Person Is Walking, Running, Jumping, Jogging, Or Falling, Among Others. Amongst All These Activities, Fall Detection Has Special Importance Because It Is A Common Dangerous Event For People Of All Ages With A More Negative Impact On The Elderly Population. Usually, These Applications Use Sensors To Detect Sudden Changes In The Movement Of The Person. These Kinds Of Sensors Can Be Embedded In Smartphones, Necklaces, Or Smart Wristbands To Make Them ‘‘wearable’’ Devices. The Main Inconvenience Is That These Devices Have To Be Placed On The Subjects’ Bodies. This Might Be Uncomfortable And Is Not Always Feasible Because This Type Of Sensor Must Be Monitored Constantly, And Can Not Be Used In Open Spaces With Unknown People.
